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DAGM
2006
Springer
15 years 1 months ago
Segmentation-Based Motion with Occlusions Using Graph-Cut Optimization
Abstract. We propose to tackle the optical flow problem by a combination of two recent advances in the computation of dense correspondences, namely the incorporation of image segme...
Michael Bleyer, Christoph Rhemann, Margrit Gelautz
ICIP
2010
IEEE
14 years 7 months ago
Randomized motion estimation
Motion estimation is known to be a non-convex optimization problem. This non-convexity comes from several ambiguities in motion estimation such as the aperture problem, or fast mo...
Sylvain Boltz, Frank Nielsen
CVPR
2000
IEEE
15 years 11 months ago
A Curve Evolution Approach to Smoothing and Segmentation Using the Mumford-Shah Functional
In this work, we approach the classic Mumford-Shah problem from a curve evolution perspective. In particular, we let a given family of curves define the boundaries between regions...
Andy Tsai, Anthony J. Yezzi, Alan S. Willsky
CVPR
2010
IEEE
15 years 2 months ago
Object Recognition as Ranking Holistic Figure-Ground Hypotheses
We present an approach to visual object-class recognition and segmentation based on a pipeline that combines multiple, holistic figure-ground hypotheses generated in a bottom-up,...
Fuxin Li, JoãCarreira, Cristian Sminchisescu
ICIP
2007
IEEE
15 years 11 months ago
Region-Based Dense Depth Extraction from Multi-View Video
A novel multi-view region-based dense depth map estimation problem is presented, based on a modified planesweeping strategy. In this approach, the whole scene is assumed to be reg...
Cevahir Cigla, Xenophon Zabulis, A. Aydin Alatan