Computing occluding and transparent motions
International Journal of Computer Vision
Non-parametric local transforms for computing visual correspondence
ECCV '94 Proceedings of the third European conference on Computer Vision (Vol. II)
Learning Parameterized Models of Image Motion
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Real-time tracking of image regions with changes in geometry and illumination
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
A Stereo Machine for Video-Rate Dense Depth Mapping and Its New Applications
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
Ordinal Measures for Visual Correspondence
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Adaptive Support-Weight Approach for Correspondence Search
IEEE Transactions on Pattern Analysis and Machine Intelligence
Local stereo matching with adaptive support-weight, rank transform and disparity calibration
Pattern Recognition Letters
Distinctive Similarity Measure for stereo matching under point ambiguity
Computer Vision and Image Understanding
A new method for stereo matching using pixel cooperative optimization
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Robust mid-sagittal plane extraction in 3-d ultrasound fetal volume for first trimester screening
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part II
Cross image inference scheme for stereo matching
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part IV
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We develop a local image-correspondence algorithm which performs well near occluding boundaries. Unlike traditional robust methods. our method can find correspondences when the only contrast present is the occluding boundary itself and when the sign of contrast along the boundary is possibly reversed. We define a new image transform which characterizes local image homogeneity, defined as an attribute value in a central region and most generally a function describing the surrounding local similarity structure. In this paper we use radial similarity functions and color attributes; within each window we compute the central color and an image with the cumulative probability color is unchanged along a ray from the center to a given point in the window. This representation is insensitive to structure outside an occluding boundary but can model the boundary itself. We show comparative results tracking finger, mouth, and eye features.