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CVPR
2003
IEEE
14 years 12 months ago
Optimal Linear Representations of Images for Object Recognition
Although linear representations are frequently used in image analysis, their performances are seldom optimal in specific applications. This paper proposes a stochastic gradient al...
Xiuwen Liu, Anuj Srivastava, Kyle Gallivan
ECCV
2004
Springer
14 years 11 months ago
High Accuracy Optical Flow Estimation Based on a Theory for Warping
Abstract. We study an energy functional for computing optical flow that combines three assumptions: a brightness constancy assumption, a gradient constancy assumption, and a discon...
Thomas Brox, Andrés Bruhn, Nils Papenberg, ...
ECCV
2008
Springer
14 years 11 months ago
Learning Optical Flow
Assumptions of brightness constancy and spatial smoothness underlie most optical flow estimation methods. In contrast to standard heuristic formulations, we learn a statistical mod...
Deqing Sun, Stefan Roth, J. P. Lewis, Michael J. B...
ECCV
2006
Springer
14 years 11 months ago
Human Detection Using Oriented Histograms of Flow and Appearance
Detecting humans in films and videos is a challenging problem owing to the motion of the subjects, the camera and the background and to variations in pose, appearance, clothing, il...
Navneet Dalal, Bill Triggs, Cordelia Schmid
VLSM
2005
Springer
14 years 3 months ago
Denoising Tensors via Lie Group Flows
The need to regularize tensor fields arise recently in various applications. We treat in this paper tensors that belong to matrix Lie groups. We formulate the problem of these SO(...
Yaniv Gur, Nir A. Sochen