抄録
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.
本文言語 | English |
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ページ(範囲) | 132-137 |
ページ数 | 6 |
ジャーナル | Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition |
巻 | 1 |
出版ステータス | Published - 1999 1月 1 |
外部発表 | はい |
イベント | Proceedings of the 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'99) - Fort Collins, CO, USA 継続期間: 1999 6月 23 → 1999 6月 25 |
ASJC Scopus subject areas
- ソフトウェア
- コンピュータ ビジョンおよびパターン認識