Matrix computations (3rd ed.)
On the Fitting of Surfaces to Data with Covariances
IEEE Transactions on Pattern Analysis and Machine Intelligence
Matching Widely Separated Views Based on Affine Invariant Regions
International Journal of Computer Vision
Efficient Graph-Based Image Segmentation
International Journal of Computer Vision
Scale & Affine Invariant Interest Point Detectors
International Journal of Computer Vision
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Features for Recognition: Viewpoint Invariance for Non-Planar Scenes
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
Contextual Inference in Contour-Based Stereo Correspondence
International Journal of Computer Vision
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
Belief-propagation on edge images for stereo analysis of image sequences
RobVis'08 Proceedings of the 2nd international conference on Robot vision
Stereo matching using hierarchical belief propagation along ambiguity gradient
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
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This paper proposes an affine invariant contour description for contour matching, applicable to wide-baseline stereo correspondence. The contours to be matched can be either object edges or region boundaries. The contour descriptor is constructed locally using matrix theory and is invariant to affine transformations, which approximate perspective transformations in wide-baseline imaging. Contour similarity is measured in terms of the descriptor to establish initial correspondence, then new constraints of grouping, ordering and consistency for contour matching are introduced to cooperate with the epipolar constraint to reject outliers. Experiments using real-world images validate that the proposed method results in more accurate stereo correspondence for clutter scenes with large depth of field than point-based stereo matching algorithms.