Visual surface segmentation from stereo

Authors:
Liang-Hua Chen;Wei-Chung Lin
Affiliations:
Department of Computer Science and Information Engineering, Fu Jen University, Hsinchuang, Taipei, Taiwan, ROC;Department of Electrical Engineering and Computer Science, Northwestern University, Evanston, IL 60208, USA
Venue:
Image and Vision Computing
Year:
1997

Citing 15
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Abstract

This paper presents an algorithm to extract and segment surface description from stereo images. Since the feature-based stereo matching algorithm only provides sparse and scattered depth data, the traditional range image segmentation technique cannot be applied to our problem. The proposed algorithm integrates the boundary- and region-based approaches to achieve more satisfactory segmentation results. Our segmentation algorithm yields a rich description of a scene in terms of global surface patches and closed surface boundaries. The surface boundary is determined by the local and global measures of surface smoothness. This results in a consistent interpretation of the scene.