Multi-scale feature selection in stereo

Hiroshi Ishikawa*

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

7 Citations (Scopus)


In binocular stereo matching, points in left and right images are matched according to features that characterize each point and identify pairs of points. When one tries to use multiple features, a difficult problem is which feature, or combination of features, to use. Moreover, features are difficult to cross-normalize and so comparisons must take into account not only their output, but also their distribution (their output for different parameters). We present a new approach that uses geometric constraints on the matching surface to select optimal feature or combination of features from multiscale-edge and intensity features. The approach requires the cyclopean coordinate system to set mutually exclusive matching choices. To obtain the matching surface, we solve a global optimization problem on an energy functional that models occlusions, discontinuities, and inter-epipolar-line interactions.

Original languageEnglish
Pages (from-to)132-137
Number of pages6
JournalProceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Publication statusPublished - 1999 Jan 1
Externally publishedYes
EventProceedings of the 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'99) - Fort Collins, CO, USA
Duration: 1999 Jun 231999 Jun 25

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition


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