S
Shai Avidan
Researcher at Tel Aviv University
Publications - 153
Citations - 17052
Shai Avidan is an academic researcher from Tel Aviv University. The author has contributed to research in topics: Pixel & Computer science. The author has an hindex of 50, co-authored 138 publications receiving 15378 citations. Previous affiliations of Shai Avidan include Mitsubishi Electric Research Laboratories & Mitsubishi.
Papers
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Book ChapterDOI
Extended Lucas-Kanade Tracking
TL;DR: Extended Lucas Kanade or ELK casts the original LK algorithm as a maximum likelihood optimization and then extends it by considering pixel object / background likelihoods in the optimization, which is evaluated on two challenging data-sets containing 50 sequences each.
Journal ArticleDOI
The Patch Transform
TL;DR: In this paper, a patch assignment problem on a Markov random field (MRF) is posed, where each patch should be used only once and neighboring patches should fit to form a plausible image.
Proceedings ArticleDOI
Geometrically consistent stereo seam carving
TL;DR: A novel method for retargeting a pair of stereo images that minimizes the visual distortion in each of the images as well as the depth distortion and guarantees that the retargeted pair is geometrically consistent with a feasible 3D scene, similar to the original one.
Book ChapterDOI
SpatialBoost: adding spatial reasoning to adaboost
TL;DR: SpatialBoost as discussed by the authors extends AdaBoost to incorporate spatial reasoning in the form of weak classifiers that attempt to infer pixel label from the pixel labels of surrounding pixels, after each boosting iteration.
Journal Article
SpatialBoost : Adding Spatial Reasoning to AdaBoost
TL;DR: SpatialBoost extends AdaBoost to incorporate spatial reasoning in the form of weak classifiers that attempt to infer pixel label from the pixel labels of surrounding pixels, after each boosting iteration.