대한전자공학회논문지 (Journal of the Korean Institute of Telematics and Electronics)
- 제27권1호
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- Pages.120-129
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- 1990
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- 1016-135X(pISSN)
Range 정보로부터 3차원 물체 분할 및 식별
Segmentation and Classification of 3-D Object from Range Information
초록
In this paper, 3-dimensional object segmentation and classification are proposed. Planar object is segmented surface using jump boundary and internal boundary. Curved object is segmented surfaces by maximin clustering method. Segmented surfaces are classified by depth trends and angle measurement of normal vectors. Classified surfaces are merged according to adjacent surfaces and compared to Guassian curvature and mean curvature method. The proposed methods have been successfully applied to the synthetic range images and shows good classification.
키워드