Visual surface segmentation from stereo

Liang Hua Chen*, Wei Chung Lin

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

8 Scopus citations


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.

Original languageEnglish (US)
Pages (from-to)95-106
Number of pages12
JournalImage and Vision Computing
Issue number2
StatePublished - Feb 1997


  • Discontinuity detection
  • Surface reconstruction
  • Three dimensional vision

ASJC Scopus subject areas

  • Signal Processing
  • Computer Vision and Pattern Recognition


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