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» Robust optical flow from photometric invariants
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CVPR
2000
IEEE
14 years 9 months ago
Integrated 3D Scene Flow and Structure Recovery from Multiview Image Sequences
Scene ow is the 3D motion eld of points in the world. Given N (N > 1) image sequences gather ed with a N-eye stereo camera or N calibrated cameras, we present a novel system wh...
Ye Zhang, Chandra Kambhamettu
CVPR
2010
IEEE
14 years 4 months ago
Unsupervised Learning of Invariant Features Using Video
We present an algorithm that learns invariant features from real data in an entirely unsupervised fashion. The principal benefit of our method is that it can be applied without hu...
David Stavens, Sebastian Thrun
CVPR
1998
IEEE
14 years 9 months ago
Motion Feature Detection Using Steerable Flow Fields
The estimation and detection of occlusion boundaries and moving bars are important and challenging problems in image sequence analysis. Here, we model such motion features as line...
David J. Fleet, Michael J. Black, Allan D. Jepson
ICCV
2009
IEEE
1821views Computer Vision» more  ICCV 2009»
15 years 12 days ago
Feature Correspondence and Deformable Object Matching via Agglomerative Correspondence Clustering
We present an efficient method for feature correspondence and object-based image matching, which exploits both photometric similarity and pairwise geometric consistency from local ...
Minsu Cho (Seoul National University), Jungmin Lee...
CVPR
2009
IEEE
15 years 2 months ago
Contextual Flow
Matching based on local brightness is quite limited, because small changes on local appearance invalidate the constancy in brightness. The root of this limitation is its treatme...
Ying Wu (Northwestern University), Jialue Fan (Nor...