3차원 물체의 표면 분할과 특징점 추출
Surface Segmentation and Critical Point Detection of 3-D Objects
지산간호보건전문대학논문집 1997년 15권 0호 p.209 ~ 219
KMID : 0613219970150000209
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김성곤 ( ) - 지산전문대학 전자계산과
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Abstract
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Recognizing objects in a scene is a primary goal of computer vision. In this paper, we represent a new method for surface segmentation of 3-D objects and critical point detection of the surface contour by using range data. The proposed segmenting method is robust to the noise and distortion because it is based on the gaussian filtering and 4-directional. surface curvature. In addition, the detected critical points which contain important shape information can be effectively used for object recognition and matching.
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KeyWords
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원문 및 링크아웃 정보
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등재저널 정보
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