Multi-Image Region Growing for Integrating Disparity Maps
CAIP '99 Proceedings of the 8th International Conference on Computer Analysis of Images and Patterns
Gradient-based polyhedral segmentation for range images
Pattern Recognition Letters
A 3D image processing method for manufacturing process automation
Computers in Industry - Special issue: Machine vision
A 3D image processing method for manufacturing process automation
Computers in Industry
Digital planar surface segmentation using local geometric patterns
DGCI'08 Proceedings of the 14th IAPR international conference on Discrete geometry for computer imagery
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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