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[Domestic Conference] 곡률 방향 공간 정보 기반 영상 기술자
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대한전자공학회 추계학슬대회 , September 2011 |
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Download
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 실적_IEEK2011_11월_김성호.pdf (2.2M) [31] | |
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Abstract
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In this paper, we propose a new shape encoding method for object recognition. We first introduce a neuro‐physiologically motivated visual part detector and shape encoder. We found that the optimal form of the visual part detector is a combination of a circular symmetry detector and a corner‐like structure detector. A perceptually novel shape descriptor, named curvature‐orientation descriptor, is then proposed, which encodes curvature as well as dominant orientation. The perceptual shape<BR>encoder enhances the feature matching performance enormously in the standard test images.
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