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KMID : 0613219970150000209
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Bulletin of Ji San Nursing and Health College
1997 Volume.15 No. 0 p.209 ~ p.219
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Surface Segmentation and Critical Point Detection of 3-D Objects
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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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