Automated Object and Target Recognition

Books

• B. Bhanu and I. Pavlidis, (Eds.) “Computer Vision Beyond the Visible Spectrum,” Springer 2004. ISBN 1-85233-604-8.

Book Chapters

• B. Bhanu and S. Nadimi, “Evolutionary Sensor Fusion for Security,” Book Chapter in “Optical Imaging, Photonics, Sensors, and Systems for Homeland Security,” (B. Javidi, Editor), Springer, 2005.
• M. Boshra and B. Bhanu, “A theoretical framework for predicting performance of object recognition,” In Computer Vision Beyond the Visible Spectrum, B. Bhanu and I. Pavilidis, (Eds.), pp. 1-37, Springer 2004.
• B. Bhanu, B. and G. Jones, “Methods for Improving the performance of a SAR recognition system,” In Computer Vision Beyond the Visible Spectrum, B. Bhanu and I. Pavilidis, (Eds.), pp. 39-69, Springer 2004.
• B. Bhanu and Y. Lin, “Recognition of occluded objects in SAR images,” In Pattern Recognition and String Matching, D. Chen and X. Cheng, (Eds.), Kluwer Academic Publishers, 2003.
• B. Bhanu and S. Fonder, “Learning-integrated interactive image segmentation,” In Advances in Evolutionary Computing - Theory and Applications, A. Ghosh and S. Tsutsui, (Eds.), pp. 863-896, Springer, 2002.
• B. Bhanu and G. Jones, “Recognizing objects in SAR images,” In Image Recognition and Classification: Algorithms, Systems and Applications, B. Javidi, (Ed.), pp. 61-100, Marcel Dekker, 2001.
• G. Jones III and B. Bhanu, “Recognition of articulated objects in SAR images,” In Articulated Motion and Deformable Objects, H-H Nagel and F.J. Perales, (Eds.), Lopez, pp. 96-107, Springer, 2000.
• B. Bhanu and Y. Lin, “Stochastic models for recognition of occluded objects,” In Advances in Pattern Recognition, F.J. Ferri, J.M. Inesta, A. Amin and P. Pudil, (Eds.), pp. 560-570, Springer, 2000.
• S. Das, B. Bhanu, X. Wu and N. Braithwaite, “Qualitative recognition of aircraft in perspective aerial imagery,” In J.L.C. Sanz, (Ed.), Image Technology, pp. 475-518, Springer-Verlag, 1996.
• J. Ming and B. Bhanu, “A multistrategy learning approach for target model recognition, acquisition and refinement,” In H. Nasr, (Ed.), Selected Papers on Automatic Target Recognition, SPIE Milestone Series, Vol. MS 41, pp. 525-539, SPIE Optical Engineering Press, 1991.
• T. Henderson, B. Bhanu and C. Hansen, “Intrinsic characteristics as the interface between CAD and machine vision systems,” In P.A. Devijver and J. Kittler (Eds.), Pattern Recognition Theory and Applications, Vol. F30, pp. 461-470, Springer-Verlag, 1987.
• B. Bhanu and O. Faugeras, “Shape matching of two-dimensional objects,” In R. Chellappa and S. Sawchuk, (Eds.), Digital Image Processing and Analysis: Vol. 2, pp. 156-175, Analysis. IEEE Press Book, 1985.

Journal Papers

• X. Tan, B. Bhanu and Y. Lin, “Fingerprint classification based on learned features,” IEEE Transactions on Systems, Man and Cybernetics, Part C, Special issue on Biometrics, Vol.35, No. 3, pp.287-300, August 2005.
• Y. Lin and B. Bhanu, “Evolutionary feature synthesis for object recognition,” IEEE Transactions on Systems, Man and Cybernetics, Part C, Special Issue on Knowledge Extraction and Incorporation in Evolutionary Computation, 2005.
• J. Han and B. Bhanu, “Performance prediction for individual recognition by gait,” Pattern Recognition Letters, 2005.
• Y. Lin and B. Bhanu, “Object detection via feature synthesis using MDL-based genetic programming,” IEEE Transactions on Systems, Man and Cybernetics Part B, Special Issue on Learning in Computer Vision and Pattern Recognition, 2005.
• K. Krawiec and B. Bhanu, “Visual learning by coevolutionary feature thesis,” IEEE Transactions on Systems, Man and Cybernetics, Part B, Special Issue on Learning in Computer Vision and Pattern Recognition, 2005.
• B. Bhanu and G. Jones III, “Multiple look angle SAR recognition,” International Journal of Imaging and Graphics, Vol. 4, No. 1, pp. 85-98, January 2004.
• S. Nadimi and B. Bhanu, “Physical models for moving shadow and object detection in video,” IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 26, No. 8, pp. 1079-1087, August 2004.
• B. Bhanu and S. Fonder, “Functional template-based SAR image segmentation,” Pattern Recognition, Vol. 37, No. 1, pp. 61-77, 2004.
• B. Bhanu and Y. Lin, “Object detection in multimodal images using genetic programming” Applied Soft Computing Journal. Vol. 4, pp. 175-201, 2004.
• B. Bhanu and Y. Lin, “Stochastic models for recognition of occluded objects,” Pattern Recognition, Vol. 36, No. 12, pp. 2855-2873, December 2003.
• Pavlidis and B. Bhanu, “Guest Editorial: Special issue on computer vision beyond the visible spectrum,” Vol. 21, No. 7, pp. 563-564, 2003.
• J.S. Ahn and B. Bhanu, “Model-based recognition of articulated objects,” Pattern Recognition Letters, Vol. 23, No. 8, pp. 1019-1029, 2002.
• B. Bhanu and G. Jones, “Increasing the discrimination of SAR recognition models,” Optical Engineering, Vol. 41, No. 12, pp. 3298-3306, December 2002.
• G. Jones and B. Bhanu, “Recognizing occluded objects in SAR images,” IEEE Transactions on Aerospace and Electronic Systems, Vol. 37, No. 1, pp. 316-328, 2001.
• G. Jones and B. Bhanu, “Recognizing articulated targets in SAR images,” Pattern Recognition, Vol. 34, No. 2, pp. 469-485, 2001.
• M. Boshra and B. Bhanu, “Predicting an upper bound on SAR ATR performance,” IEEE Transactions on Aerospace and Electronic Systems, Vol. 37, No. 3, pp. 876-888, 2001.
• B. Bhanu and G. Jones, “Recognizing target variants and articulations in synthetic aperture radar images,” Optical Engineering, Vol. 39, No. 3, pp. 712-723, 2000.
• B. Bhanu, Y. Lin, G. Jones and J. Peng, “Adaptive target recognition,” International Journal of Machine Vision and Applications, Vol. 11, No. 6, pp. 289-299, 2000.
• M. Boshra and B. Bhanu, “Predicting performance of object recognition,” IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 22, No. 9, pp. 956-969, 2000.
• G. Jones and B. Bhanu, “Recognition of articulated and occluded objects,” IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 21, No. 7, pp. 603-613, 1999.
• S. Das and B. Bhanu, “A system for model-based object recognition in perspective aerial images,” Pattern Recognition, Vol. 31, No. 4, pp. 465-491, 1998.
• X. Wu and B. Bhanu, “Gabor wavelet representation for 3-D object recognition,” IEEE Transactions on Image Processing, Vol. 6, No. 1, pp. 47-64, 1997.
• B. Bhanu, P. Symosek and S. Das, “Analysis of terrain using multispectral images,” Pattern Recognition, Vol. 30, No. 2, pp. 197-215, 1997.
• S. Das, B. Bhanu and C. C. Ho, “Generic object recognition using multiple representations,” Image and Vision Computing, Vol. 14, pp. 323-338, 1996.
• J. Yi, B. Bhanu and M. Li, “Target indexing in SAR images using scattering centers and Hausdorff distance,” Pattern Recognition Letters, Vol. 17, pp. 1191-1198, 1996.
• B. Bhanu and T. Jones, “Image understanding research for automatic target recognition,” IEEE Aerospace and Electronic Systems, Vol. 8, No. 10, pp. 15-23, 1993.
• B. Bhanu and R. Holben, “Model-based segmentation of FLIR images,” IEEE Transactions on Aerospace and Electronic Systems, Vol. 26, No. 1, pp. 2-11, 1990.
• B. Bhanu, B. Hutchings and K. Smith, “VLSI design and implementation of a real-time image segmentation processor,” International Journal of Machine Vision and Applications, Vol. 3, No. 1, pp. 21-44, 1990.
• B. Bhanu and L. Nuttall, “Recognition of 3-D objects in range images using a butterfly multiprocessor,” Pattern Recognition, Vol. 22, No. 1, pp. 49-64, 1989.
• B. Bhanu and W. Burger, “Approximation of displacement fields using wavefront region growing,” Computer Vision, Graphics and Image Processing, Vol. 41, No. 3, pp. 306-322, 1988.
• B. Bhanu, “Machine vision for the battlefield,” Scientific Honeyweller (Special Issue on Artificial Intelligence), Vol. 9, No. 1, pp. 57-67, 1988.
• B. Bhanu, C.C. Ho and T. Henderson, “3-D model building for computer vision,” Pattern Recognition Letters, Vol. 5, pp. 349-356, 1987.
• B. Bhanu, “CAD-based robot vision,” IEEE Computer, Vol. 20, No. 8, pp. 13-16, 1987.
• B. Bhanu and C.C. Ho, “CAD-based 3-D object representation for robot vision,” IEEE Computer, Vol. 20, No. 8, pp. 19-35, 1987.
• B. Bhanu and J. Ming, “Recognition of occluded objects: A cluster-structure algorithm,” Pattern Recognition, Vol. 20, No. 2, pp. 199-211, 1987.
• B. Bhanu and B. Parvin, “Segmentation of natural scenes,” Pattern Recognition, Vol. 20, No. 5, pp. 487-496, 1987.
• B. Bhanu, “Automatic target recognition: State-of-the-art survey,” IEEE Transactions on Aerospace and Electronic Systems, AES Vol. 22, No. 4, pp. 364-379, 1986.
• T. Henderson, C. Hansen and B. Bhanu, “The specification of distributed sensing and control,” Journal of Robotic Systems, Vol. 2, No. 4, pp. 387-396, 1985.
• T. Henderson and B. Bhanu, “Intrinsic characteristics as the interface between CAD and machine vision systems,” Pattern Recognition Letters, Vol. 3, pp. 425-430, 1985.
• B. Bhanu and O. Faugeras, “Shape matching of two-dimensional objects,” IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI Vol. 6, No. 2, pp. 137-156, 1984. See also, Book Chapter #C-1.
• B. Bhanu, “Representation and shape matching of 3-D objects,” IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI Vol. 6, No. 3, pp. 340-351, 1984.
• B. Bhanu and O. Faugeras, “Segmentation of images having unimodal distributions,” IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI Vol. 4, No. 4, pp. 408-419, 1982.
• B. Bhanu and J.H. McClellan, “On the computation of complex cepstrum,” IEEE Transactions on Acoustics, Speech, and Signal Processing, ASSP Vol. 28, No. 5, pp. 583-585, 1980.

Journal Special Issues

• I. Pavlidis. and B. Bhanu, “Computer vision beyond the visible spectrum,” Image and Vision Computing, Vol. 21, No. 7, pp. 563-673, July 2003.
• B. Bhanu, T. Boult, A. Gupta and D. Michael, “Innovative applications of computer vision,” WACV2000, International Journal of Machine Vision and Applications, Vol. 13, No. 3, pp. 109-184, 2002.
• B. Bhanu, I. Pavlidis and R. Hummel, “Computer Vision Beyond the Visible Spectrum,” International Journal of Machine Vision and Applications, Vol. 11, No. 6, pp. 265-329, May 2000.
• B. Bhanu, D. Dudgeon, E. Zelnio, A. Rosenfeld, D. Casasent and I. Reed, “Automatic Target Detection and Recognition,” IEEE Transactions on Image Processing, Vol. 6, No. 1, pp. 1-216, 1997.
• B. Bhanu, “Innovative applications of computer vision,” International Journal Machine Vision and Applications, Vol. 7, No. 3, pp. 125-185, 1994.
• B. Bhanu, “CAD based robot vision,” IEEE Computer, Vol. 20, No. 8, pp. 12-84, 1987.

Conference Proceedings

• H. Chen and B. Bhanu, “Contour matching for 3-D ear recognition,” Proc. IEEE Workshop on Applications of Computer Vision, Breckenridge, Colorado, Jan. 5-7, 2005.
• S. Nadimi and B. Bhanu, “Cooperative coevolution fusion for moving object detection,” Proc. Genetic and Evolutionary Computation Conference, pp. 587-589, Seattle, WA, June 26-30, 2004.
• S. Nadimi and B. Bhanu, “Physics-based cooperative sensor fusion for moving object detection,” Proc. IEEE Workshop on Learning in Computer Vision and Pattern Recognition, Washington, DC, June 28, 2004.
• B. Bhanu and X. Zou, “Moving humans detection based on multi-modal sensor fusion,” Proc. IEEE Workshop on Object Tracking and Classification Beyond the Visible Spectrum,” Washington, DC, July 2, 2004.
• H. Chen and B. Bhanu, “3-D free-form object recognition in range images using local surface patches,” Proc. International Conference on Pattern Recognition, Cambridge, UK, August 23-26, 2004.
• S. Nadimi and B. Bhanu, “Adaptive fusion for diurnal moving object detection,” Proc. International Conference on Pattern Recognition, Cambridge, UK, August 23-26, 2004.
• J. Han and B. Bhanu, “Statistical feature fusion for gait-based human recognition,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 842-847, Washington, DC, June 27-July 2, 2004.
• B. Bhanu, R. Wang and X. Tan, “Predicting fingerprint recognition performance from a small gallery,” Proc. Workshop on Biometrics: Challenges arising from Theory to Practice (BCTP), pp. 47-50, August 22, 2004, Cambridge, UK.
• H. Chen and B. Bhanu, “Human ear recognition from side face range images,” Proc. International Conference on Pattern Recognition, Volume 3, pp. 574-577, Cambridge, UK, August 23-26, 2004.
• X. Zhou and B. Bhanu, “Face recognition from face profile using dynamic time warping,” Proc. International Conference on Pattern Recognition, Vol. 4, pp. 499-502, Cambridge, UK, August 23-26, 2004.
• B. Bhanu and K. Krawiec, “Coevolving feature extraction agents for target recognition in SAR images,” Proceedings SPIE Conference on Algorithms for Synthetic Aperture Radar Imagery X, Vol. 5095, pp. 275-283, Orlando. FL, April 21-25, 2003.
• B. Bhanu, G. Jones and R. Wang, “Composite class models for SAR recognition,” Proceedings SPIE Conference on Algorithms for Synthetic Aperture Radar Imagery X, Vol. 5095, pp. 284-291, Orlando. FL, April 21-25, 2003.
• K. Krawiec and B. Bhanu, “Coevolutionary feature learning for object recognition,” International Conference on Machine Learning and Data Mining in Pattern Recognition, Leipzig, Germany, July 5-7, 2003, Lecture Notes in Artificial Intelligence, LNAI 2734, pp. 224-238, Springer Verlag, Berlin.
• K. Krawiec and B. Bhanu, “Coevolution and Linear genetic programming for visual learning,” Genetic and Evolutionary Computation Conference, Part I, pp. 332-343, Chicago, IL, July 12-16, 2003.
• Y. Lin and B. Bhanu, “Learning composite features for object recognition,” Genetic and Evolutionary Computation Conference, Part II, pp. 2227-2239, Chicago, IL, July 12-16, 2003.
• K. Krawiec and B. Bhanu, “Visual learning by evolutionary feature synthesis,” International Conference on Machine Learning, pp. 376-383, Washington, DC, August 21-24, 2003.
• B. Bhanu and J. Han, “Human recognition on combining kinematic and stationary features,” Proceedings International Conference on Audio- and Video-based Biometric Person Authentication, pp. 600-608, Guildford, UK, June 9-11, 2003.
• X. Tan, B.Bhanu and Y. Lin, “Learning features for fingerprint classification,” Proceedings International Conference on Audio- and Video-based Biometric Person Authentication, pp. 318-326, Guildford, UK, June 9-11, 2003.
• X. Tan and B. Bhanu, “On the fundamental performance for fingerprint matching,” Proceedings IEEE Conference on Computer Vision and Pattern Recognition, Vol. II, pp. 499-504, Madison, WI, June 18-20, 2003.
• Y. Lin and B. Bhanu, “MDL-based genetic programming for object detection,” Proceedings IEEE Workshop on Learning in Computer Vision and Pattern Recognition, Madison, WI, June 22, 2003.
• K. Krawiec and B. Bhanu, “Coevolutionary computation for synthesis of recognition systems,” Proceedings IEEE Workshop on Learning in Computer Vision and Pattern Recognition, Madison, WI, June 22, 2003.
• X. Tan and B. Bhanu, “Fingerprint identification: classification vs. Indexing,” IEEE International Conference on Advanced Video and Signal-based Surveillance, pp. 151-156, Miami, FL, July 21-22, 2003.
• S. Nadimi and B. Bhanu, “Physics-based models for sensor fusion,” IEEE Conference on Multisensor Fusion and Integration for Intelligent Systems, pp. 161-166, Tokyo, Japan, July 29-August 1, 2003.
• J. Han and B. Bhanu, “Detecting moving humans using color and infrared video,” IEEE Conference on Multisensor Fusion and Integration for Intelligent Systems, pp. 228-233, Tokyo, Japan, July 29-August 1, 2003.
• K. Krawiec and B. Bhanu, “Visual learning by evolutionary feature synthesis,” International Conference on Machine Learning, pp. 376-383, Washington, DC, August 21-24, 2003.
• J. Han and B. Bhanu, “Gait energy image representation: Comparative performance evaluation on USF HumanID database,” Joint IEEE International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance, Nice, France, Oct. 11-12, 2003.
• J. Han and B. Bhanu, “Individual recognition using gait energy image,” Proc. Workshop on Multimodal User Authentication, Santa Barbara, CA, pp. 181-188, December 11-12, 2003.
• B. Bhanu and H. Chen, “Human ear recognition in 3-D,” Proc. Workshop on Multimodal User Authentication, Santa Barbara, CA, pp. 91-98, December 11-12, 2003.
• E. Hong, B. Bhanu, G. Jones and X. Qian, “Performance modeling of vote-based object recognition,” Proceedings Radar Sensor Technology IX, Vol. 5077, Orlando. FL, April 21-25, 2003.
• X. Tan and B. Bhanu, “Fingerprint matching by genetic algorithms,” Proceedings GECCO Late Breaking Papers, pp. 435-442, New York City, New York, July 11-13, 2002.
• B. Bhanu and G. Jones, “Exploiting azimuthal variance of scatterers for multiple look SAR recognition,” Proceedings SPIE Conference on Algorithms for Synthetic Aperture Radar Imagery IX, Vol. 4727, pp. 290-298, Orlando, Florida, April. 1-2, 2002.
• B. Bhanu and Y. Lin, “Learning composite operators for object detection,” Proceedings Genetic and Evolutionary Computation Conference, pp. 1003-1010, New York City, New York, July 9-13, 2002.
• S. Nadimi and B. Bhanu, “Moving shadow detection using a physics-based approach,” Proceedings International Conference on Pattern Recognition, Vol. II, pp. 701-704, Quebec City, Canada, August 11-15, 2002.
• Y. Lin and B. Bhanu, “Discovering operators and features for object recognition,” Proceedings International Conference on Pattern Recognition, Vol. III, pp. 339-342, Quebec City, Canada, August 11-15, 2002.
• B. Bhanu and J. Han, “Individual recognition by kinematic-based gait analysis,” Proceedings International Conference on Pattern Recognition, Vol. III, pp. 343-346, Quebec City, Canada, August 11-15, 2002.
• B. Bhanu and Y. Lin, “Learning feature agents for extracting terrain regions in remotely sensed images,” International Workshop on Pattern Recognition in Remote Sensing, pp. 1-6, Niagara Falls, Canada, August 16, 2002.
• B. Bhanu and G. Jones III, “Increasing the discrimination of SAR recognition models,” Proceedings SPIE Conference on Algorithms for Synthetic Aperture Radar Imagery VIII, Vol. 4382, pp. 308-317, Orlando, Florida, April 1-5, 2001.
• S. Nadimi and B. Bhanu, “Multistrategy fusion using mixture model for moving object detection,” Proceedings International Conference on Multisensor Fusion and Integration for Intelligent Systems, pp. 317-322, Baden-Baden, Germany, August 20-22, 2001.
• B. Bhanu, Y. Lin and S. Wang, “Feature selection for target detection in SAR images,” Proceedings IEEE Workshop on Computer Vision Beyond the Visible Spectrum, Kauai, Hawaii, December 14, 2001.
• B. Bhanu and G. Jones III, “Recognizing occluded MSTAR targets,” Proceedings SPIE Conference on Algorithms for Synthetic Aperture Radar Imagery VII, Vol. 4053, pp. 361-369, Orlando, Florida, April 24-28, 2000.
• M. Boshra and B. Bhanu, “Validation of SAR ATR performance predictions using learned distortion models,” Proceedings SPIE Conference on Algorithms for Synthetic Aperture Radar Imagery VII, Vol. 4053, pp. 558-566, Orlando, Florida, April 24-28, 2000.
• B. Bhanu and G. Jones III, “Object recognition results using MSTAR synthetic aperture radar data,” Proceedings IEEE Workshop on Computer Vision Beyond the Visible Spectrum, pp. 55-62, Hilton Head, South Carolina, June 16, 2000.
• B. Bhanu and Y. Lin, “Recognition of occluded objects using stochastic models,” Proceedings IEEE Workshop on Computer Vision Beyond the Visible Spectrum, pp. 73-82, Hilton Head, South Carolina, June 16, 2000.
• B. Bhanu and G. Jones, “Recognizing MSTAR target variants and articulations,” Proceedings SPIE Conference on Algorithms for Synthetic Aperture Radar Imagery VI, Vol. 3721, pp. 507-519, Orlando, Florida, April 5-9, 1999.
• M. Boshra and B. Bhanu, “Bounding SAR ATR performance based on model similarity,” Proceedings SPIE Conference on Algorithms for Synthetic Aperture Radar Imagery VI, Vol. 3721, pp. 716-729, Orlando, Florida, April 5-9, 1999.
• G. Jones and B. Bhanu, “Quasi-invariants for recognition of articulated and non-standard objects in SAR images,” Proceedings IEEE Workshop on Computer Vision Beyond the Visible Spectrum, pp. 88-97, Fort Collins, Colorado, June 22, 1999.
• B. Bhanu, Y. Lin, G. Jones and J. Peng, “Adaptive target recognition,” Proceedings IEEE Workshop on Computer Vision Beyond the Visible Spectrum, pp. 71-81, Fort Collins, Colorado, June 22, 1999.
• M. Boshra and B. Bhanu, “Performance prediction and validation for object recognition,” Proceedings IEEE Conference on Computer Vision and Pattern Recognition, pp. 380-386, Fort Collins, Colorado, June 23-25, 1999.
• B. Bhanu, G. Jones III. and J. Ahn, “Recognizing articulated objects and object articulation in SAR images,” Proceedings SPIE Conference on Algorithms for Synthetic Aperture Radar Imagery V, Vol. 3370, pp. 493-505, Orlando, Florida, April 13-17, 1998.
• M. Boshra and B. Bhanu, “Performance modeling of feature-based classification in SAR imagery,” Proceedings SPIE Conference on Algorithms for Synthetic Aperture Radar Imagery, V, Vol. 3370, pp. 661-674, Orlando, Florida, April 13-17, 1998.
• B. Bhanu and G. Jones, “Target recognition for articulated and occluded objects in synthetic aperture radar imagery,” Proceedings IEEE Radar Conference, pp. 245-250, Dallas, Texas, May 12-13, 1998.
• J. Peng and B. Bhanu, “Local reinforcement learning for object recognition,” Proceedings International Conference on Pattern Recognition, pp. 272-274, Brisbane, Australia, August 17-20, 1998.
• B. Bhanu and J. Ahn, “A system for model-based recognition of articulated objects,” Proceedings International Conference on Pattern Recognition, pp. 1812-1815, Brisbane, Australia, August 17-20, 1998.
• M. Boshra and B. Bhanu, “Predicting object recognition performance under data uncertainty, occlusion and clutter,” Proceedings IEEE International Conference on Image Processing, pp. 556-560, Chicago, Illinois, October 4-7, 1998.
• B. Bhanu and G. Jones, “Performance characterization of a model-based SAR target recognition system using invariants,” Proceedings SPIE Conference on Algorithms for Synthetic Aperture Radar Imagery, 3070, pp. 305-321, Orlando, Florida, April 21-24, 1997.
• B. Bhanu and B. Tian, “Stochastic models for recognition of articulated objects,” Proceedings IEEE International Conference on Image Processing, pp. 847-850, Santa Barbara, California, October 26-29, 1997.
• S. Rong and B. Bhanu, “Modeling clutter and context for target detection in infrared images,” Proceedings IEEE Conference on Computer Vision and Pattern Recognition, pp. 106-113, San Francisco, California, June 16-20, 1996.
• S. Zhang and B. Bhanu, “Automatic model construction for object recognition using ISAR images,” Proceedings 13th International Conference on Pattern Recognition, Vol. 4, pp. 169-173, Vienna, Austria, August 25-30, 1996.
• Y.-J. Zheng and B. Bhanu, “Adaptive object detection from multisensor data,” Proceedings IEEE International Conference on Multisensor Fusion and Integration of Intelligent Systems, pp. 633-640, Washington, DC, December 8-11, 1996.
• X. Wu and B. Bhanu, “Gabor wavelets for 3-D object recognition,” Proceedings Fifth International Conference on Computer Vision, pp. 537-542, Massachusetts Institute of Technology, Cambridge, Massachusetts, June 20-23, 1995.
• N. Braithwaite and B. Bhanu, “Error bound for multi-stage synthesis of narrow bandwidth Gabor filters,” Proceedings IEEE International on Conference Image Processing, pp. 33-36, Washington, DC, October 22-25, 1995.
• N. Braithwaite and B. Bhanu, “Composite phase and phase-based Gabor element aggregation,” Proceedings IEEE International Conference on Image Processing, pp. 538-541, Washington, DC, October 22-25, 1995.
• S. Das, B. Bhanu and C-C. Ho, “Generic object recognition using CAD-based multiple representations,” Proceedings Second IEEE Workshop on CAD-Based Vision, pp. 202-209, Champion, Pittsburgh, Pennsylvania, February 1994.
• N. Braithwaite and B. Bhanu, “Hierarchical Gabor filters for object detection in infrared images,” Proceedings IEEE Conference on Computer Vision and Pattern Recognition, pp. 628-631, Seattle, Washington, June 20-23, 1994.
• B. Bhanu and S. Rong, “Background modeling for target detection and recognition,” Proceedings 5th Annual Ground Target Modeling and Validation Conference, pp. 11-20, Houghton, Michigan, August 23-25, 1994.
• S. Das, B. Bhanu, X. Wu and R. N. Braithwaite, “A system for aircraft recognition in perspective aerial images,” Proceedings 2nd IEEE Workshop on Applications of Computer Vision, Sarasota, pp. 168-175, Florida, December 5-7, 1994.
• B. Bhanu and C. C. Ho, “Building hierarchical vision model of objects with multiple representations,” Proceedings SPIE Conference on Applications Artificial Intelligence X: Machine Vision and Robotics, Vol. 1708, pp. 663-674. Orlando, Florida, April 1992.
• B. Bhanu, B. Roberts and J. Ming, “Inertial navigation sensor integrated motion analysis for obstacle detection,” Proceedings IEEE International Conference on Robotics and Automation, pp. 954-959, Raleigh, North Carolina, May 1990.
• H. Nasr, B. Bhanu and S. Lee, “Refocused recognition of aerial photographs at multiple resolution,” Proceedings SPIE International Conference on Aerospace Pattern Recognition, Vol. 1098, pp. 198-206, Orlando, Florida, March 1989.
• T. Henderson, E.Weitz, C. Hansen, R. Grupen, C. C. Ho and B. Bhanu, “CAD based robotics,” Proceedings IEEE International Conference on Robotics and Automation, pp. 631-635, Raleigh, North Carolina, March 1987.
• B. Bhanu, N. Thune and M. Thune, “CAOS: A hierarchical robot control system,” Proceedings IEEE International Conference on Robotics and Automation, pp. 1603-1608, Raleigh, North Carolina, March 1987.
• B. Bhanu, H. Nasr, P. Symosek, W. Burger, M. Gluch and D. Panda, “Knowledge-based analysis of scene dynamics for an autonomous land vehicle,” Proceedings 14th Annual Technical Symposium Association of Unmanned Vehicle Systems, 16 pages, AUVS-87, Washington, DC, July 19-21, 1987.
• B. Bhanu and N. Thune, “Knowledge-based robot control on a multiprocessor in a multisensor environment,” Proceedings 2nd International Conference on Robotics and Factories of the Future, San Diego, California, July 28-31, 1987.
• B. Bhanu and J. Ming, “Recognition of occluded objects: A cluster-structure paradigm,” Proceedings IEEE International Conference on Robotics and Automation, pp. 776-781, San Francisco, California, April 7-10, 1986.
• T. Henderson, C. Hansen and B. Bhanu, “Intrinsic characteristics as the interface between CAD and machine vision systems,” Proceedings NATO Advanced Summer Institute (ASI) Workshop, Belgium, June 1986.
• B. Bhanu and C. C. Ho, “Computer aided geometric design based 3-D models for machine vision,” Proceedings 8th International Conference on Pattern Recognition, pp. 107-110, Paris, France, October 1986.
• T. Henderson, C. Hansen, A. Samal, C. C. Ho and B. Bhanu, “CAGD based 3-D visual recognition,” Proceedings 8th International Conference on Pattern Recognition, pp. 230-232, Paris, France, October 1986.
• B. Bhanu, S. Lee, C. C. Ho and T. Henderson, “Range data processing: Representation of surfaces by edges,” Proceedings 8th International Conference on Pattern Recognition, pp. 236-238, Paris, France, October 1986.
• B. Bhanu and J. Ming, “Clustering based recognition of occluded objects,” Proceedings 8th International Conference on Pattern Recognition, pp. 732-734, Paris, France, October 1986.
• B. Bhanu, N. Thune, J. K. Lee and M. Thune, “Hierarchical robot control in a multisensor environment,” Proceedings SPIE Conference Intelligent Robots and Computer Vision, Vol. 726, pp. 453-461, Cambridge, Massachusetts, October 1986.
• B. Bhanu, C. C. Ho and S. Lee, “CAD based 3-D models for computer vision,” Proceedings IEEE International Conference on Systems, Man, and Cybernetics, pp. 1002-1006, Atlanta, Georgia, October 1986.
• B. Bhanu, T. Henderson and S. Thomas, “Vision analysis using computer aided geometric models,” Proceedings International Conference on CAD/CAM, Robotics and Automation, pp. 243-246, Tucson, Arizona, February 1985.
• B. Bhanu and T. Henderson, “CAGD based 3-D vision,” Proceedings IEEE International Conference on Robotics and Automation, pp. 411-417, St. Louis, Missouri, March 1985.
• B. Bhanu, T. Henderson, and S. Thomas, “3-D model building using CAGD techniques,” Proceedings IEEE Conference on Computer Vision and Pattern Recognition, pp. 234-239, San Francisco, California, June 9-13, 1985.
• T. Henderson, B. Bhanu and S. Thomas, “I’Analyse Visuelle Base Sur le Dessin Geometrique Assiste Par Ordinateur,” Proceedings IASTED International Conference Computer Aided Design and Applications, pp. 93-95, Paris, France, June 18-20, 1985.
• T. Henderson, C. Hansen and B. Bhanu, “A framework of distributed sensing and control,” Proceedings 9th International Joint Conference on Artificial Intelligence (IJCAI-85), pp. 1106-1109, Los Angeles, California, August 18-23, 1985.
• T. Henderson, C. Hansen and B. Bhanu, “The synthesis of logical sensor specifications,” Proceedings SPIE Conference on Intelligent Robots and Computer Vision, Vol. 579, pp. 442-445, Cambridge, Massachusetts, September 1985.
• B. Bhanu and R. Holben, “Model based segmentation of FLIR images,” Proceedings SPIE Conference on Applications of Digital Image Proceedings VII, Vol. 504, pp. 10-18, San Diego, California, August 1984.
• T. Henderson, C. Hansen, B. Bhanu and E. Shilcrat, “ASP: An algorithm and sensor performance evaluation system,” Proceedings 9th Pecora Memorial Remote Sensing Symposium, pp. 201-207, Sioux Falls, South Dakota, October 2-4, 1984.
• T. Henderson, B. Bhanu and C. Hansen, “Distributed control in multi-sensor kernel system,” Proceedings SPIE Conference on Intelligent Robots and Computer Vision, Vol. 521, pp. 253-255, Cambridge, Massachusetts, November 4-9, 1984.
• B. Bhanu, T. Politopoulos and B. A. Parvin, “Intelligent autocueing of tactical targets in FLIR images,” Proceedings IEEE Conference on Computer Vision and Pattern Recognition, pp. 502-503, Washington, DC, June 19-23, 1983.
• B. Parvin and B. Bhanu, “Segmentation of images using a relaxation technique,” Proceedings IEEE Conference Computer on Vision and Pattern Recognition, pp. 151-153, Washington, DC, June 19-23, 1983.
• B. Bhanu, T. Politopoulos and B. Parvin, “Intelligent autocueing of tactical targets,” Proceedings SPIE Conference on Architecture and Algorithms for Digital Image Proceedings, Vol. 435, pp. 90-97, San Diego, California, August 1983.
• B. Bhanu, “Evaluation of automatic target recognition algorithms,” Proceedings SPIE Conference on Architecture and Algorithms for Digital Image Proceedings, Vol. 435, pp. 18-27, San Diego, California, August 1983.
• B. Bhanu, “Recognition of occluded objects,” Proceedings 8th International Joint Conference on Artificial Intelligence, pp. 1136-1138, IJCAI-83, Karlsruhe, West Germany, August 8-12, 1983.
• B. Bhanu, “Computation of two-dimensional complex cepstrum,” Proceedings 7th International Conference on Acoustics, Speech and Signal Processing, pp. 140-143, Paris, France, May 3-5, 1982.
• T. Henderson and B. Bhanu, “Three point seed method for the extraction of planar faces from range data,” Proceedings IEEE International Conference on Industrial Applications of Machine Vision, pp. 181-186, Raleigh, North Carolina, May 3-5, 1982.
• B. Bhanu, “Surface representation and shape matching of 3-D objects,” Proceedings IEEE Conference on Pattern Recognition and Image Processing, pp. 349-354, Las Vegas, Nevada, June 13-17, 1982.
• B. Bhanu and O. Faugeras, “Shape matching of 2-D objects using a hierarchical stochastic labeling technique,” Proceedings IEEE Conference on Pattern Recognition and Image Processing, pp. 688-690, Las Vegas, Nevada, June 13-17, 1982.
• B. Bhanu, “Segmentation of images using a gradient relaxation technique,” Proceedings 6th International Conference on Pattern Recognition, pp. 915-917, Munich, West Germany, October 19-22, 1982.
• B. Bhanu, “Shape matching of two-dimensional occluded objects,” Proceedings 6th International Conference on Pattern Recognition, pp. 742-744, Munich, West Germany, October 19-22, 1982.
• B. Bhanu and O. Faugeras, “Recognition of occluded two dimensional objects,” Proceedings 2nd Scandinavian Conference on Image Analysis, pp. 72-77, Helsinki, Finland, June 15-17, 1981.
• O. Faugeras and B. Bhanu, “Reconnaissance de formes planes par une methode hierarchique d’etiquetage probabiliste,” Proceedings AFCET. 3eme Congres, Reconnaissance des Formes et Intelligence Artificielle, pp. 425-435, Nancy, France, September 16-18, 1981.

Patents

• 1 Hatem Nasr and Bir Bhanu, “Landmark Recognition System Using Dynamic Model Matching,” U.S. Patent No. 5,144,685, September 1, 1992. Israel Patent No. 93718, July 5, 1993.

Learning in Computer Vision and Patten Recognition

Books

• B. Bhanu, Y. Lin and K. Krawiec, “Evolutionary Synthesis of Pattern Recognition Systems,” Springer, 2005. Monograph in Computer Science, ISBN 0-387-21295-7.
• B. Bhanu and S. Lee, “Genetic learning for adaptive image segmentation,” Kluwer International Series in Engineering and Computer Science, Robotics: Vision, Manipulation and Sensors, Kluwer Academic Publishers, 1994.
• B. Bhanu and S. Das, “Computational Learning for Adaptive Computer Vision,” Kluwer Academic Publishers. (to be published)

Book Chapters

• B. Bhanu and S. Fonder, “Learning-integrated interactive image segmentation,” In Advances in Evolutionary Computing - Theory and Applications, A. Ghosh and S. Tsutsui, (Eds.), pp. 863-896, Springer, 2002.
• B. Bhanu and A. Dong, “Concept learning with fuzzy clustering and relevance feedback,” In Machine Learning and Data Mining in Pattern Recognition, P. Perner, (Ed.), pp. 102-116, Springer, July 2001.
• J. Peng and B. Bhanu, “Pattern classification based on local learning,” In Advances in Pattern Recognition, A. Amin, D, Dori, P. Pudil and H. Freeman, (Eds.), pp. 882-889, Springer, 1998.
• B. Bhanu, X. Wu and S. Lee, “Genetic Algorithms for adaptive image segmentation,” In S. Nayar, S. and T. Poggio, (Eds.), Early Visual Processing, Chapter 11, pp. 269-298, Oxford University Press, 1996.

Journal Papers

• B. Bhanu and Y. Lin, “Synthesizing feature agents using evolutionary computation,” Pattern Recognition Letters, Special Issue on Remote Sensing.
• X. Tan, B. Bhanu and Y. Lin, “Fingerprint classification based on learned features,” IEEE Transactions on Systems, Man and Cybernetics, Part C, Special issue on Biometrics, February 2005.
• Y. Lin and B. Bhanu, “Evolutionary feature synthesis for object recognition,” IEEE Transactions on Systems, Man and Cybernetics, Part C, Special Issue on Knowledge Extraction and Incorporation in Evolutionary Computation, 2005.
• A. Dong and B. Bhanu, “Active concept Learning in image databases,” IEEE Transactions on Systems, Man and Cybernetics, Part B, Special Issue on Learning in Computer Vision and Pattern Recognition, 2005.
• Y. Lin and B. Bhanu, “Object detection via feature synthesis using MDL-based genetic programming,” IEEE Transactions on Systems, Man and Cybernetics Part B, Special Issue on Learning in Computer Vision and Pattern Recognition, 2005.
• P. Yin, B. Bhanu, K. Chang and A. Dong, “Integrating relevance feedback techniques for image retrieval using reinforcement learning,” IEEE Transactions on Pattern Analysis and Machine Intelligence, 2005.
• K. Krawiec and B. Bhanu, “Visual learning by coevolutionary feature synthesis,” IEEE Transactions on Systems, Man and Cybernetics, Part B, Special Issue on Learning in Computer Vision and Pattern Recognition, 2005.
• K. Krawiec and B. Bhanu, “Visual learning by evolutionary feature synthesis,” IEEE Transactions on Evolutionary Computation, 2005. (Under Revision)
• B. Bhanu and S. Fonder, “Functional template-based SAR image segmentation,” Pattern Recognition, Vol. 37, No. 1, pp. 61-77, 2004.
• B. Bhanu and Y. Lin, “Object detection in multimodal images using genetic programming” Applied Soft Computing Journal. Vol. 4, pp. 175-201, 2004.
• B. Bhanu and Y. Lin, “Genetic algorithm based feature selection for target detection in SAR images,” Image and Vision Computing, Vol. 21, No. 7, pp. 591-608, 2003.
• J. Peng and B. Bhanu, “Local discriminative learning for pattern Recognition,” Pattern Recognition, Vol. 34, No. 1, pp. 139-150, 2001.
• B. Bhanu and J. Peng, “Adaptive integrated image segmentation and object recognition,” IEEE Transactions on Systems, Man and Cybernetics- Part C, Vol. 30, No. 4, pp. 427-441, 2000.
• J. Peng and B. Bhanu, “Closed loop object recognition using reinforcement learning,” IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 20, No. 2, pp. 139-154, 1998.
• J. Peng and B. Bhanu, “Delayed reinforcement learning for adaptive image segmentation and feature extraction,” IEEE Transactions on Systems, Man and Cybernetics, Vol. 28, No. 3, pp. 482-488, 1998.
• J. Ming and B. Bhanu, “ORACLE: An integrated learning approach for object recognition,” International Journal of Pattern Recognition and Artificial Intelligence, Vol. 11, No. 6, pp. 961-990, 1997.
• B. Bhanu, S. Lee and S. Das, “Adaptive image segmentation using genetic and hybrid search methods,” IEEE Transactions Aerospace and Electronic Systems, Vol. 31, No. 4, pp. 1268-1291, 1995.
• B. Bhanu, S. Lee and J. Ming, “Adaptive image segmentation using a genetic algorithm,” IEEE Transactions on Systems, Man and Cybernetics, Vol. 25, No. 12, pp. 1543-1567, 1995.

Journal Special Issues

• B. Bhanu, T. Huang, J. Peng and B. Draper, “Learning in Computer Vision and Pattern Recognition,” IEEE Transactions on Systems, Man and Cybernetics, Part B (Special Issue), June, 2005.
• B. Bhanu and T. Poggio, “Learning in computer vision,” IEEE Transactions Pattern Analysis and Machine Intelligence, Vol. 16, No. 9, pp. 865-919, 1994.

Conference Papers

• J. Han and B. Bhanu, “Hierarchical mutli-sensor image registration using evolutionary computation,” Proc. Genetic and Evolutionary Computation Conference, Washington D.C., June 25-29, 2005.
• A. Dong, B. Bhanu and Y. Lin, “Evolutionary feature synthesis for image datbase,” Proc. IEEE Workshop on Applications of Computer Vision, Breckenridge, Colorado, Jan. 5-7, 2005.
• S. Nadimi and B. Bhanu, “Cooperative coevolution fusion for moving object detection,” Proc. Genetic and Evolutionary Computation Conference, pp. 587-589, Seattle, WA, June 26-30, 2004.
• B. Bhanu, J. Yu, X, Tan and Y. Lin, “Feature synthesis using genetic programming for face expression recognition,” Proc. Genetic and Evolutionary Computation Conference, pp. 896-907, Seattle, WA, June 26-30, 2004.
• A. Dong and B. Bhanu, “Robust concept learning and indexing for model-based image databases,” Proc. IEEE Workshop on Learning in Computer Vision and Pattern Recognition, Washington, DC, June 28, 2004.
• A. Dong and B. Bhanu, “Discriminant features for model-based image databases,” Proc. International Conference on Pattern Recognition, Vol. 2, pp. 997-1000, Cambridge, UK, August 23-26, 2004.
• P. Leang and B. Bhanu, “Learning integrated perception-based speed control,” Proc. International Conference on Pattern Recognition, Vol. 1, pp. 813-816, Cambridge, UK, August 23-26, 2004.
• S. Nadimi and B. Bhanu, “Adaptive fusion for diurnal moving object detection,” Proc. International Conference on Pattern Recognition, Volume 3, pp. 696-699, Cambridge, UK, August 23-26, 2004.
• K. Krawiec and B. Bhanu, “Coevolutionary computation for synthesis of recognition systems,” Proceedings IEEE Workshop on Learning in Computer Vision and Pattern Recognition, Madison, WI, June 22, 2003.
• K. Krawiec and B. Bhanu, “Coevolutionary feature learning for object recognition,” International Conference on Machine Learning and Data Mining in Pattern Recognition, Leipzig, Germany, July 5-7, 2003, Lecture Notes in Artificial Intelligence, LNAI 2734, pp. 224-238, Springer Verlag, Berlin.
• K. Krawiec and B. Bhanu, “Visual learning by evolutionary feature synthesis,” International Conference on Machine Learning, pp. 376-383, Washington, DC, August 21-24, 2003.
• P. Yin, B. Bhanu, K. Chang and A. Dong, “Reinforcement learning for combining relevance feedback techniques in image retrieval,” International Conference on Computer Vision, Nice, France, Oct. 13-16, 2003.
• A. Dong and B. Bhanu “A new semi-supervised EM algorithm for image retrieval,” Proceedings IEEE Conference on Computer Vision and Pattern Recognition, Vol. II, pp. 662-667, Madison, WI, June 18-20, 2003.
• Y. Lin and B. Bhanu, “MDL-based genetic programming for object detection,” Proceedings IEEE Workshop on Learning in Computer Vision and Pattern Recognition, Madison, WI, June 22, 2003.
• A. Dong and B. Bhanu, “Concept learning and transplantation for dynamic image databases,” IEEE International Conference on Multimedia and Expo, pp. 765-768, Baltimore, MD, July 6-9, 2003.
• K. Krawiec and B. Bhanu, “Coevolution and Linear genetic programming for visual learning,” Genetic and Evolutionary Computation Conference, Part I, pp. 332-343, Chicago, IL, July 12-16, 2003.
• Y. Lin and B. Bhanu, “Learning composite features for object recognition,” Genetic and Evolutionary Computation Conference, Part II, pp. 2227-2239, Chicago, IL, July 12-16, 2003.
• K. Krawiec and B. Bhanu, “Visual learning by evolutionary feature synthesis,” International Conference on Machine Learning, pp. 376-383, Washington, DC, August 21-24, 2003.
• A. Dong and B. Bhanu, “Active Concept Learning for Image Retrieval in Dynamic Databases,” International Conference on Computer Vision, pp. 90-95, Nice, France, Oct. 13-16, 2003.
• B. Bhanu and Y. Lin, “Learning composite operators for object detection,” Proceedings Genetic and Evolutionary Computation Conference, pp. 1003-1010, New York City, New York, July 9-13, 2002.
• B. Bhanu and K. Krawiec, “Coevolutionary construction of features by transformation of representation in machine learning,” Proceedings GECCO Workshop on Understanding Coevolution: Theory and Analysis of Coevolutionary Algorithms, pp. 249-254, New York City, New York, July 9, 2002.
• J. Liu and B. Bhanu, “Learning semantic visual concepts from video,” Proceedings International Conference on Pattern Recognition, Vol. II, 1061-1064, Quebec City, Canada, August 11-15, 2002.
• Y. Lin and B. Bhanu, “Discovering operators and features for object recognition,” Proceedings International Conference on Pattern Recognition, Vol. III, pp. 339-342, Quebec City, Canada, August 11-15, 2002.
• B. Bhanu and Y. Lin, “Learning feature agents for extracting terrain regions in remotely sensed images,” International Workshop on Pattern Recognition in Remote Sensing, pp. 1-6, Niagara Falls, Canada, August 16, 2002.
• B. Bhanu, P. Leang, C. Cowden, Y. Lin and M. Patterson, “Real time robot learning,” Proceedings IEEE International Conference on Robotics and Automation, pp. 491-498, Seoul, South Korea, May 21-26, 2001.
• B. Bhanu and A. Dong, “Exploitation of meta knowledge for learning visual concepts,” IEEE Workshop on Content-based Access of Image and Video Libraries, pp. 81-88, Kauai, Hawaii, December 14, 2001.
• B. Bhanu and S. Fonder, “Learning based interactive image segmentation,” Proceedings International Conference on Pattern Recognition, Vol. 1, pp. 299-302, Barcelona, Spain, September 3-7, 2000.
• B. Bhanu, Y. Lin, G. Jones and J. Peng, “Adaptive target recognition,” Proceedings IEEE Workshop on Computer Vision Beyond the Visible Spectrum, pp. 71-81, Fort Collins, Colorado, June 22, 1999.
• J. Peng and B. Bhanu, “Feature relevance estimation for image databases,” Proceedings Fifth International Workshop on Multimedia Information Systems (MIS'99), pp. 12-19, in Advances in Multimedia Information Systems, Edited by L. Golubchik and V.J. Tsotras, Indian Wells, California, October 21-23, 1999.
• B. Bhanu and J. Peng, “Adaptive integrated image segmentation and object recognition,” Proceedings Eleventh Vision Interface Conference, pp. 471-478, Vancouver, Canada, June 18-20, 1998.
• J. Peng and B. Bhanu, “Learning to perceive for autonomous navigation in outdoor environments,” Proceedings IEEE Workshop on Perception for Mobile Agents, pp. 95-104, Santa Barbara, California, June 26, 1998.
• J. Peng and B. Bhanu, “Local reinforcement learning for object recognition,” Proceedings International Conference on Pattern Recognition, pp. 272-274, Brisbane, Australia, August 17-20, 1998.
• J. Peng and B. Bhanu, “Closed-loop object recognition using reinforcement learning,” Proceedings IEEE Conference on Computer Vision and Pattern Recognition, pp. 538-543, San Francisco, California, June 16-20, 1996.
• J. Peng and B. Bhanu, “Delayed reinforcement learning for closed-loop object recognition,” Proceedings 13th International Conference on Pattern Recognition, Vol. 4, 310-314, Vienna, Austria, August 25-30, 1996.
• Y.-J. Zheng and B. Bhanu, “Adaptive object detection based on modified Hebbian learning,” Proceedings 13th International Conference on Pattern Recognition, Vol. 4, pp. 164-168, Vienna, Austria, August 25-30, 1996.
• S. Rong and B. Bhanu, “Enhancing a self-organizing map through near-miss injection,” Proceedings World Congress on Neural Networks (Annual Meeting of the International Neural Networks Society), pp. I552-I556, Washington, DC, July 17-21, 1995.
• B. Bhanu, S. Lee and S. Das, “Adaptive image segmentation using multi-objective evaluation and hybrid search methods,” Proceedings AAAI Fall Symposium on Machine Learning and Computer Vision: What, Why and How?, pp. 30-34, Raleigh, North Carolina, October 22-24, 1993.
• M. Barth, S. Das and B. Bhanu, “Learning-based control of perception for mobility,” Proceedings IEEE International Symposium on Intelligent Control, pp. 329-334, Glasgow, United Kingdom, August 1992.
• B. Bhanu, J. Ming and S. Lee, “Closed-loop adaptive image segmentation,” Proceedings IEEE Conference on Computer Vision and Pattern Recognition, pp. 734-735, Maui, Hawaii, June 1991.
• B. Bhanu, S. Lee and J. Ming, “Self-optimizing image segmentation using a genetic algorithm,” Proceedings 4th International Conference on Genetic Algorithms, pp. 362-369, San Diego, California, July 1991.

Patents

• Bir, Bhanu, Sungkee Lee and John Ming, “Adaptive Image Segmentation System,” U.S. Patent No. 5,048,095, September 10, 1991. Great Britain Patent No. 2242598, November 30, 1994.

Sensor Fusion, Dynamic Scene and Motion Analysis

Books

• S. Nadimi and B. Bhanu, “Dynamic Sensor Fusion,” SPIE Press, 2005. (to be published)
• W. Burger and B. Bhanu, “Qualitative motion understanding,” Kluwer International Series in Engineering and Computer Science, Robotics: Vision, Manipulation and Sensors, Kluwer Academic Publishers, 1992.

Journal Papers

• S. Nadimi and B. Bhanu, “Physical models for moving shadow and object detection in video,” IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 26, No. 8, pp. 1079-1087, August 2004.
• J. Peng and B. Bhanu, “Learning to perceive objects for autonomous navigation,” Autonomous Robots, Vol. 6, No. 2, pp. 187-201, 1999.
• B. Bhanu, S. Das, B. Roberts and D. Duncan, “A system for obstacle detection during rotorcraft low altitude flight,” IEEE Transactions on Aerospace and Electronic Systems, Vol. 32, No. 3, pp. 875-897, 1996.
• B. Bhanu, S. Das, P. Symosek, S. Snyder and B. Roberts, “Synergism of binocular and motion stereo for passive ranging,” IEEE Transactions on Aerospace and Electronic Systems, Vol. 30, No. 3, pp. 709-721, 1994.
• B. Bhanu, R. Nevatia and E. Riseman, “Dynamic-scene and motion analysis using passive sensors - PART I: A qualitative approach,” IEEE Expert, Vol. 7, No. 1, pp. 45-52, 1992.
• B. Bhanu, R. Nevatia and E. Riseman, “Dynamic-scene and motion analysis using passive sensors - PART II: Displacement-field and feature-based approaches,” IEEE Expert, Vol. 7, No. 1, pp. 53-64, 1992.
• B. Roberts and B. Bhanu, “Inertial navigation sensor integrated motion analysis for autonomous vehicle navigation,” Journal of Robotic Systems, Vol. 9, No. 6, pp. 817-842, 1992.
• B. Bhanu and W. Burger, “A qualitative approach to dynamic scene understanding,” Computer Vision, Graphics and Image Processing - Image Understanding, Vol. 54, No. 2, pp. 184-205, 1991.
• W. Burger and B. Bhanu, “Estimating 3-D egomotion from perspective image sequences,” IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI Vol. 12, No. 11, pp. 1040-1058, 1990.
• W. Burger and B. Bhanu. “Qualitative understanding of scene dynamics for autonomous mobile robots,” International Journal of Robotics Research, Vol. 9, No. 6, pp. 74-90, 1990.

Journal Special Issues

• B. Bhanu, “Perception-Based Intelligent Robots,” Autonomous Robot, Vol. 6, No. 2, pp. 111-238, April 1999.
• B. Bhanu, O. Faugeras, B. Sridhar and C. Thorpe, “Perception-based real-world navigation,” IEEE Transactions Robotics and Automation, Vol. 10, No. 6, pp. 725-798, 1994.
• B. Bhanu and B. Sridhar, “Passive ranging for robotic systems,” Journal Robotic Systems, Vol. 9, No. 6, pp. 705-859, 1992.

Conference Papers

• B. Bhanu and S. Nadimi, “Evolutionary Sensor Fusion for Security,” Book Chapter in “Optical Imaging, Photonics, Sensors, and Systems for Homeland Security,” (B. Javidi, Editor), Springer 2005.
• J. Han and B. Bhanu, “Hierarchical mutli-sensor image registration using evolutionary computation,” Proc. Genetic and Evolutionary Computation Conference, Washington D.C., June 25-29, 2005.
• P. Leang and B. Bhanu, “Learning integrated perception-based speed control,” Proc. International Conference on Pattern Recognition, Vol. 1, pp. 813-816, Cambridge, UK, August 23-26, 2004.
• S. Nadimi and B. Bhanu, “Cooperative coevolution fusion for moving object detection,” Proc. Genetic and Evolutionary Computation Conference, pp. 587-589, Seattle, WA, June 26-30, 2004.
• S. Nadimi and B. Bhanu, “Physics-based cooperative sensor fusion for moving object detection,” Proc. IEEE Workshop on Learning in Computer Vision and Pattern Recognition, Washington, DC, June 28, 2004.
• S. Nadimi and B. Bhanu, “Adaptive fusion for diurnal moving object detection,” Proc. International Conference on Pattern Recognition, Volume 3, pp. 696-699, Cambridge, UK, August 23-26, 2004.
• S. Nadimi and B. Bhanu, “Physics-based models for sensor fusion,” IEEE Conference on Multisensor Fusion and Integration for Intelligent Systems, pp. 161-166, Tokyo, Japan, July 29-August 1, 2003.
• J. Han and B. Bhanu, “Detecting moving humans using color and infrared video,” IEEE Conference on Multisensor Fusion and Integration for Intelligent Systems, pp. 228-233, Tokyo, Japan, July 29-August 1, 2003.
• S. Nadimi and B. Bhanu, “Moving shadow detection using a physics-based approach,” Proceedings International Conference on Pattern Recognition, Vol. II, pp. 701-704, Quebec City, Canada, August 11-15, 2002.
• S. Nadimi and B. Bhanu, “Multistrategy fusion using mixture model for moving object detection,” Proceedings International Conference on Multisensor Fusion and Integration for Intelligent Systems, pp. 317-322, Baden-Baden, Germany, August 20-22, 2001.
• J. Peng and B. Bhanu, “Learning to perceive for autonomous navigation in outdoor environments,” Proceedings IEEE Workshop on Perception for Mobile Agents, pp. 95-104, Santa Barbara, California, June 26, 1998.
• W. Burger and B. Bhanu, “A geometric constraint method for estimating 3-D camera motion,” Proceedings IEEE Conference on Robotics and Automation, pp. 1155-1160, San Diego, California, May 8-13, 1994.
• N. Braithwaite and B. Bhanu, “Robust guidance of a conventionally steered vehicle using destination bearing,” Proceedings IEEE International Symposium on Intelligent Control, pp. 382-387, Chicago, Illinois, August 25-27, 1993.
• W. Burger and B. Bhanu, “Reasoning about motion and scene structure for visual navigation,” Proceedings European Meeting on Cybernetics and Systems Research - EMCSR (World Scientific Publishers), pp. 1431-1438, Vienna, Austria, April 21-24, 1992.
• B. Bhanu, P. Symosek, S. Snyder, B. Roberts and S. Das, “Integrated binocular and motion stereo in an inertial navigation sensor-based mobile vehicle,” Proceedings IEEE International Symposium on Intelligent Control, pp. 60-65, Glasgow, United Kingdom, August 1992.
• M. Barth, S. Das and B. Bhanu, “Learning-based control of perception for mobility,” Proceedings IEEE International Symposium on Intelligent Control, pp. 329-334, Glasgow, United Kingdom, August 1992.
• B. Bhanu, B. Roberts, D. Duncan and S. Das, “A system for obstacle detection during rotorcraft low-altitude flight,” Proceedings IEEE Workshop on Applications of Computer Vision, pp. 92-99, Palm Springs, California, November/December 1992.
• B. Roberts, B. Sridhar and B. Bhanu, “Inertial navigation sensor integrated motion analysis for obstacle detection,” Proceedings IEEE/AIAA 10th Digital Avionics Systems Conference, pp. 131-136, Los Angeles, California, October 14-17, 1991.
• W. Burger and B. Bhanu, “On computing a ‘fuzzy’ focus of expansion for autonomous navigation,” Proceedings IEEE Conference on Computer Vision and Pattern Recognition, pp. 563-568, San Diego, California, June 1989.
• H. Nasr and B. Bhanu, “Landmark recognition for autonomous mobile robots,” Proceedings IEEE International Conference on Robotics and Automation, pp. 1218-1223, Philadelphia, Pennsylvania, April 1988.
• W. Burger and B. Bhanu, “Dynamic scene understanding for autonomous mobile robots,” Proceedings IEEE Conference on Computer Vision and Pattern Recognition, pp. 736-741, Ann Arbor, Michigan, June 1988.
• B. Bhanu and W. Burger, “Estimation of image motion using wavefront region growing,” Proceedings 1st International Conference on Computer Vision, pp. 428-432, London, United Kingdom, June 1987.
• W. Burger and B. Bhanu, “Qualitative motion understanding,” Proceedings 10th International Joint Conference on Artificial Intelligence (IJCAI-87), pp. 819-821, Milan, Italy, August 1987.

Image, Video and Spatial Databases

Book Chapters

• G. Sudhir and B. Bhanu, “Database-retrieval oriented approach for model-based object recognition,” In International Conference on Advances in Pattern Recognition, S. Singh, (Ed.), pp. 23-32, Springer, 1999.
• J. Peng and B. Bhanu, “Independent feature analysis for image retrieval,” In Machine Learning and Data Mining in Pattern Recognition, P. Perner and M. Petrou, (Eds.), pp. 103-115, Springer, 1999.

Journal Papers

• Dong and B. Bhanu, “Active concept Learning in image databases,” IEEE Trans. on Systems, Man and Cybernetics, Part B, Special Issue on Learning in Computer Vision and Pattern Recognition, 2005.
• P. Yin, B. Bhanu, K. Chang and A. Dong, “Integrating relevance feedback techniques for image retrieval using reinforcement learning,” IEEE Transactions on Pattern Analysis and Machine Intelligence, 2005.
• B. Bhanu and A. Dong, “Concept learning with fuzzy clustering and relevance feedback,” Engineering Applications of Artificial Intelligence, Vol. 15, No. 2, pp. 123-138, 2002.
• J. Peng and B. Bhanu, “Independent feature analysis for image retrieval,” Pattern Recognition Letters, Vol. 22, No. 1, pp. 63-74, 2001.
• J. Peng, B. Bhanu and S. Qing, “Probabilistic feature relevance learning for content-based image retrieval,” Computer Vision and Image Understanding, Vol. 75, No. 1/2, pp. 150-164, 1999. (Special Issue of Content-Based Access of Image and Video Libraries)

Conference Procedings

• A. Dong, B. Bhanu and Y. Lin, “Evolutionary feature synthesis for image datbase,” Proc. IEEE Workshop on Applications of Computer Vision, Breckenridge, Colorado, Jan. 5-7, 2005.
• A. Dong and B. Bhanu, “Robust concept learning and indexing for model-based image databases,” Proc. IEEE Workshop on Learning in Computer Vision and Pattern Recognition, Washington, DC, June 28, 2004.
• B. Bhanu, R. Li, C. Ravishankar, M. Kurth and J. Ni, “Indexing structure for handling uncertain spatial data,” Proc. 6th International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences, June 28-July 2, 2004. Portland, Maine, USA.
• A. Dong and B. Bhanu, “Discriminant features for model-based image databases,” Proc. International Conference on Pattern Recognition, Vol. 2, pp. 997-1000, Cambridge, UK, August 23-26, 2004.
• A. Dong and B. Bhanu “A new semi-supervised EM algorithm for image retrieval,” Proceedings IEEE Conference on Computer Vision and Pattern Recognition, Vol. II, pp. 662-667, Madison, WI, June 18-20, 2003.
• B. Bhanu, R. Li, C. Ravishankar and J. Ni, “Handling uncertain spatial data: Comparisons between indexing structures,” 3rd International Workshop on Pattern Recognition in Remote Sensing (PRRS '04), Kingston upon Thames, UK, August 27, 2004.
• J. Ni, C.V. Ravishankar and B. Bhanu, “Probablistic Spatial Database Operations,” Eighth International Symposium on Spatial and Temporal Databases, Sdantorini Island, Greece, July 24-27, 2003.
• A. Dong and B. Bhanu, “Active Concept Learning for Image Retrieval in Dynamic Databases,” International Conference on Computer Vision, pp. 90-95, Nice, France, Oct. 13-16, 2003.
• P. Yin, B. Bhanu, K. Chang and A. Dong, “Reinforcement learning for combining relevance feedback techniques in image retrieval,” International Conference on Computer Vision, Nice, France, Oct. 13-16, 2003.
• J. Liu and B. Bhanu, “Learning semantic visual concepts from video,” Proceedings International Conference on Pattern Recognition, Vol. II, 1061-1064, Quebec City, Canada, August 11-15, 2002.
• P. Yin, B. Bhanu, K. Chang and A. Dong, “Improving retrieval performance by long-term relevance information,” Proceedings International Conference on Pattern Recognition, pp. Vol. III, pp. 533-536, Quebec City, Canada, August 11-15, 2002.
• B. Bhanu and A. Dong, “Exploitation of meta knowledge for learning visual concepts,” IEEE Workshop on Content-based Access of Image and Video Libraries, pp. 81-88, Kauai, Hawaii, December 14, 2001.
• J. Peng and B. Bhanu, “Feature relevance estimation for image databases,” Proceedings Fifth International Workshop on Multimedia Information Systems (MIS'99), pp. 12-19, in Advances in Multimedia Information Systems, Edited by L. Golubchik and V.J. Tsotras, Indian Wells, California, October 21-23, 1999.
• B. Bhanu, J. Peng and S. Qing, “Learning feature relevance and similarity metrics in image databases,” Proceedings IEEE Workshop on Content-Based Access of Image and Video Libraries, pp. 14-18, Santa Barbara, California, June 21, 1998.
• B. Bhanu, S. Qing and J. Peng, “Learning integrated online indexing for image databases,” Proceedings IEEE International Conference on Image Processing, pp. 789-793, Chicago, Illinois, October 4-7, 1998.

Biometrics

Books

• B. Bhanu and X. Tan, “Computational Algorithms for Fingerprint Recognition,” Kluwer Academic Publishers, 2003. ISBN: 1-4020-7651-7. Series in Biometrics.

Conference Proceedings

• H. Chen, B. Bhanu and R. Wang, “Performance evaluation and prediction for 3-D ear recognition,” Proceedings International Conference on Audio- and Video-based Biometric Person Authentication, Rye Brook, NY, July 20-22, 2005.
• J. Han and B. Bhanu, “Gait recognition by combining classifiers based on environmental contexts,” Proceedings International Conference on Audio- and Video-based Biometric Person Authentication, Rye Brook, NY, July 20-22, 2005.
• R. Wang, B, Bhanu and H. Chen, “An integrated prediction model for biometrics,” Proceedings International Conference on Audio- and Video-based Biometric Person Authentication, Rye Brook, NY, July 20-22, 2005.
• X. Zhou, B. Bhanu and J. Han, “Human recognition at a distance in video by integrating face profile and gait,” Proceedings International Conference on Audio- and Video-based Biometric Person Authentication, Rye Brook, NY, July 20-22, 2005.
• J. Han and B. Bhanu, “Hierarchical mutli-sensor image registration using evolutionary computation,” Proc. Genetic and Evolutionary Computation Conference, Washington D.C., June 25-29, 2005.
• H. Chen and B. Bhanu, “Contour matching for 3-D ear recognition,” Proc. IEEE Workshop on Applications of Computer Vision, Breckenridge, Colorado, Jan. 5-7, 2005.
• B. Bhanu, J. Yu, X, Tan and Y. Lin, “Feature synthesis using genetic programming for face expression recognition,” Proc. Genetic and Evolutionary Computation Conference, pp. 896-907, Seattle, WA, June 26-30, 2004.
• J. Han and B. Bhanu, “Statistical feature fusion for gait-based human recognition,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 842-847, Washington, DC, June 27-July 2, 2004.
• B. Bhanu and X. Zou, “Moving humans detection based on multi-modal sensor fusion,” Proc. IEEE Workshop on Object Tracking and Classification Beyond the Visible Spectrum,” Washington, DC, July 2, 2004.
• B. Bhanu, R. Wang and X. Tan, “Predicting fingerprint recognition performance from a small gallery,” Proc. Workshop on Biometrics: Challenges arising from Theory to Practice (BCTP), pp. 47-50, August 22, 2004, Cambridge, UK.
• H. Chen and B. Bhanu, “Human ear recognition from side face range images,” Proc. International Conference on Pattern Recognition, Volume 3, pp. 574-577, Cambridge, UK, August 23-26, 2004.
• H. Chen and B. Bhanu, “3-D free-form object recognition in range images using local surface patches,” Proc. International Conference on Pattern Recognition, Volume 3, pp. 136-139, Cambridge, UK, August 23-26, 2004.
• X. Zhou and B. Bhanu, “Face recognition from face profile using dynamic time warping,” Proc. International Conference on Pattern Recognition, Vol. 4, pp. 499-502, Cambridge, UK, August 23-26, 2004.
• B. Bhanu and J. Han, “Human recognition on combining kinematic and stationary features,” Proceedings International Conference on Audio- and Video-based Biometric Person Authentication, pp. 600-608, Guildford, UK, June 9-11, 2003.
• X. Tan, B.Bhanu and Y. Lin, “Learning features for fingerprint classification,” Proceedings International Conference on Audio- and Video-based Biometric Person Authentication, pp. 318-326, Guildford, UK, June 9-11, 2003.
• X. Tan and B. Bhanu, “On the fundamental performance for fingerprint matching,” Proceedings IEEE Conference on Computer Vision and Pattern Recognition, Vol. II, pp. 499-504, Madison, WI, June 18-20, 2003.
• J. Han and B. Bhanu, “Gait energy image representation: Comparative performance evaluation on USF HumanID database,” Joint IEEE International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance, Nice, France, Oct. 11-12, 2003.
• J. Han and B. Bhanu, “Individual recognition using gait energy image,” Proc. Workshop on Multimodal User Authentication, Santa Barbara, CA, pp. 181-188, December 11-12, 2003.
• B. Bhanu and H. Chen, “Human ear recognition in 3-D,” Proc. Workshop on Multimodal User Authentication, Santa Barbara, CA, pp. 91-98, December 11-12, 2003.