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Presented by: Hui Chen
ABSTRACT: My presentation has three parts. Firstly, I will
introduce the basic concepts about object recognition and
the characteristics of range iamges. Next, I will present
two appraoches to recognize 3D objects from range images.
One is called appreance-based approach, the other is the combination
of indexing and point-based matching algorithm. For the appreance-based
approach, We use some local features and combine them in a
high dimensional histogram. Therefore, we can get statistical
representations of images. We use histogram matching and MAP
estimate to compare the different statistical representations.For
the indexing and point-based matching algorithm, we firstly
get candidate models from the database based on the shape
index histogram, then we apply point-based matching algorithm
which computes the number of correspondence points between
test image features and model features. We test the alogrithms
on synthetic range images and real range images. Finally,
I will talk about my future work.
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