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Human Ear Detection
from Side Face Range Images
Presented by: Hui Chen
Abstract:
Ear detection is an important part of an ear recognition
system. In this paper we address human ear detection from
side face range images. We introduce a simple and effective
method to detect ears, which has two stages: offline model
template building and on-line detection. The model template
is represented by an averaged histogram of shape index. The
on-line detection is a four-step process: step edge detection
and thresholding, image dilation, connect-component labeling
and template matching. Experiment results with real ear images
are presented to demonstrate the effectiveness of our approach.
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