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ICIAP
2005
ACM
14 years 1 months ago
Markovian Energy-Based Computer Vision Algorithms on Graphics Hardware
This paper shows how Markovian segmentation algorithms used to solve well known computer vision problems such as motion estimation, motion detection and stereovision can be signiļ¬...
Pierre-Marc Jodoin, Max Mignotte, Jean-Franç...
ECCV
2010
Springer
13 years 8 months ago
Fast and Exact Primal-Dual Iterations for Variational Problems in Computer Vision
The saddle point framework provides a convenient way to formulate many convex variational problems that occur in computer vision. The framework unifies a broad range of data and re...
Jan Lellmann, Dirk Breitenreicher, Christoph Schn&...
PAMI
2007
129views more  PAMI 2007»
13 years 7 months ago
Algorithmic Differentiation: Application to Variational Problems in Computer Vision
Abstractā€” Many vision problems can be formulated as minimization of appropriate energy functionals. These energy functionals are usually minimized, based on the calculus of varia...
Thomas Pock, Michael Pock, Horst Bischof
ISVC
2009
Springer
14 years 2 months ago
Combinatorial Preconditioners and Multilevel Solvers for Problems in Computer Vision and Image Processing
Abstract. Linear systems and eigen-calculations on symmetric diagonally dominant matrices (SDDs) occur ubiquitously in computer vision, computer graphics, and machine learning. In ...
Ioannis Koutis, Gary L. Miller, David Tolliver
ICTAI
2003
IEEE
14 years 29 days ago
Interactive Open Architecture Computer Vision
In this paper, design and implementation of an interactive open architecture computer vision software package called Ch OpenCV is presented. Beneļ¬ting from both Ch and OpenCV, C...
Qingcang Yu, Harry H. Cheng, Wayne W. Cheng, Xiaod...