Surfaces from Stereo: Integrating Feature Matching, Disparity Estimation, and Contour Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
ACM Computing Surveys (CSUR)
Automated subpixel image registration of remotely sensed imagery
IBM Journal of Research and Development
Curve based stereo matching using the minimum Hausdorff distance
Proceedings of the twelfth annual symposium on Computational geometry
Multi-Primitive Hierarchical (MPH) Stereo Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Contour-Based Correspondence for Stereo
ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part I
Computing in Cortical Columns: Curve Inference and Stereo Correspondence
BMVC '00 Proceedings of the First IEEE International Workshop on Biologically Motivated Computer Vision
Recovering the 3D structure of tubular objects from stereo silhouettes
Pattern Recognition
High-Order differential geometry of curves for multiview reconstruction and matching
EMMCVPR'05 Proceedings of the 5th international conference on Energy Minimization Methods in Computer Vision and Pattern Recognition
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Contours made of sequences of adjacent edge points are used as primitives in stereo pair matching. Matching contour segments, rather than the traditional epipolar edge points, can greatly reduce possible ambiguity. This is done by reformulating point-matching constraints to apply to contour matching, and by introducing a unique incremental matching scheme. Best-matched contours are paired first, constraining through neighborhood support their neighboring contours. Examples of the proposed stereo matching scheme are shown, with very few errors, for aerial images of natural terrain.