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CVPR
2010
IEEE
13 years 6 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
EMMCVPR
2009
Springer
14 years 3 months ago
General Search Algorithms for Energy Minimization Problems
We describe a scheme for solving Energy Minimization problems, which is based on the A∗ algorithm accomplished with appropriately chosen LP-relaxations as heuristic functions. Th...
Dmitrij Schlesinger
ACCV
2010
Springer
13 years 3 months ago
A Direct Method for Estimating Planar Projective Transform
Estimating planar projective transform (homography) from a pair of images is a classical problem in computer vision. In this paper, we propose a novel algorithm for direct register...
Yu-Tseh Chi, Jeffrey Ho, Ming-Hsuan Yang
MP
2002
85views more  MP 2002»
13 years 8 months ago
Generalized Goal Programming: polynomial methods and applications
In this paper we address a general Goal Programming problem with linear objectives, convex constraints, and an arbitrary componentwise nondecreasing norm to aggregate deviations w...
Emilio Carrizosa, Jörg Fliege
SIGGRAPH
1989
ACM
14 years 19 days ago
A general two-pass method integrating specular and diffuse reflection
We analyse some recent approaches to the global illumination problem by introducing the corresponding reflection operators, and we demonstrate the advantages of a two-pass method....
François X. Sillion, Claude Puech