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ICCV
2005
IEEE
15 years 11 months ago
Designing Spatially Coherent Minimizing Flows for Variational Problems Based on Active Contours
This paper tackles an important aspect of the variational problems involving active contours, which has been largely overlooked so far: the optimization by gradient flows. Classic...
Guillaume Charpiat, Renaud Keriven, Jean-Philippe ...
CVPR
2003
IEEE
15 years 11 months ago
Variational Inference for Visual Tracking
The likelihood models used in probabilistic visual tracking applications are often complex non-linear and/or nonGaussian functions, leading to analytically intractable inference. ...
Jaco Vermaak, Neil D. Lawrence, Patrick Pér...

Publication
700views
16 years 5 months ago
Optimal Approximations by Piecewise Smooth Functions and Associated Variational Problems - [ Mumford-Shah ]
"The purpose of this paper is to introduce and study the most basic properties of three new variational problems which are suggested by applications to computer vision. In com...
David Mumford and Jayant Shah
CVPR
2010
IEEE
14 years 7 months ago
Efficient computation of robust low-rank matrix approximations in the presence of missing data using the L1 norm
The calculation of a low-rank approximation of a matrix is a fundamental operation in many computer vision applications. The workhorse of this class of problems has long been the ...
Anders Eriksson, Anton van den Hengel
80
Voted
ECCV
2004
Springer
15 years 11 months ago
Parallel Variational Motion Estimation by Domain Decomposition and Cluster Computing
We present an approach to parallel variational optical flow computation on standard hardware by domain decomposition. Using an arbitrary partition of the image plane into rectangul...
Timo Kohlberger, Christoph Schnörr, Andr&eacu...