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» Graph-Theoretical Methods in Computer Vision
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193
Voted
ICCV
2009
IEEE
17 years 12 days ago
Extending Continuous Cuts: Anisotropic Metrics and Expansion Moves
The concept of graph cuts is by now a standard method for all sorts of low level vision problems. Its popularity is largely due to the fact that globally or near globally optimal...
Carl Olsson, Martin Byr¨od, Niels Chr. Overgaard,...
223
Voted
CVPR
2004
IEEE
16 years 9 months ago
A Fast Multigrid Implicit Algorithm for the Evolution of Geodesic Active Contours
Active contour models are among the most popular PDE-based tools in computer vision. In this paper we present a new algorithm for the fast evolution of geodesic active contours an...
George Papandreou, Petros Maragos
CVPR
2005
IEEE
16 years 9 months ago
Damped Newton Algorithms for Matrix Factorization with Missing Data
The problem of low-rank matrix factorization in the presence of missing data has seen significant attention in recent computer vision research. The approach that dominates the lit...
A. M. Buchanan, Andrew W. Fitzgibbon
193
Voted
CVPR
2005
IEEE
16 years 9 months ago
Selection and Fusion of Color Models for Feature Detection
The choice of a color space is of great importance for many computer vision algorithms (e.g. edge detection and object recognition). It induces the equivalence classes to the actu...
Harro M. G. Stokman, Theo Gevers
159
Voted
CVPR
2007
IEEE
16 years 9 months ago
Illumination Multiplexing within Fundamental Limits
Taking a sequence of photographs using multiple illumination sources or settings is central to many computer vision and graphics problems. A growing number of recent methods use m...
Netanel Ratner, Yoav Y. Schechner