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CVPR
2010
IEEE
15 years 1 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
15 years 9 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
14 years 10 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»
15 years 2 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
15 years 7 months 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