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» Deriving Intrinsic Images from Image Sequences
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WACV
2012
IEEE
12 years 4 months ago
Online discriminative object tracking with local sparse representation
We propose an online algorithm based on local sparse representation for robust object tracking. Local image patches of a target object are represented by their sparse codes with a...
Qing Wang, Feng Chen, Wenli Xu, Ming-Hsuan Yang
RT
2004
Springer
14 years 2 months ago
A Spectral-particle hybrid method for rendering falling snow
Falling snow has the visual property that it is simultaneously a set of discrete moving particles as well as a dynamic texture. To capture the dynamic texture properties of fallin...
Michael S. Langer, Linqiao Zhang, Allison W. Klein...
ICCV
2005
IEEE
14 years 11 months ago
Modeling Scenes with Local Descriptors and Latent Aspects
We present a new approach to model visual scenes in image collections, based on local invariant features and probabilistic latent space models. Our formulation provides answers to...
Pedro Quelhas, Florent Monay, Jean-Marc Odobez, Da...
PRL
2010
310views more  PRL 2010»
13 years 7 months ago
A Lagrangian Half-Quadratic approach to robust estimation and its applications to road scene analysis
We consider the problem of fitting linearly parameterized models, that arises in many computer vision problems such as road scene analysis. Data extracted from images usually cont...
Jean-Philippe Tarel, Pierre Charbonnier
TIT
2008
90views more  TIT 2008»
13 years 9 months ago
Scanning and Sequential Decision Making for Multidimensional Data - Part II: The Noisy Case
We consider the problem of sequential decision making for random fields corrupted by noise. In this scenario, the decision maker observes a noisy version of the data, yet judged wi...
Asaf Cohen, Tsachy Weissman, Neri Merhav