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Range-data-based object surface segmentation via edges and critical points

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2 Author(s)
Dongming Zhao ; Dept. of Electr. & Comput. Eng., Michigan Univ., Dearborn, MI, USA ; Xintong Zhang

A novel method for range image segmentation is presented in this paper. It is based on an integration of edge and region information. The algorithm consists of three steps: edge and critical point detection, triangulation, and region growing. Experimental results show that the method is efficient for segmentation of the range images that contain polyhedral objects. A three-dimensional (3-D) surface structure graph (SSG) obtained from the segmentation is a description of the surface structure about an object. Therefore, a segmentation result also presents a data set that can be used to establish a surface model for computer-aided-design-based (CAD-based) vision and object recognition

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Image Processing, IEEE Transactions on  (Volume:6 ,  Issue: 6 )