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» Graph-Theoretical Methods in Computer Vision
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COMPGEOM
2009
ACM
15 years 9 months ago
High resolution surface reconstruction from overlapping multiple-views
Extracting a computer model of a real scene from a sequence of views, is one of the most challenging and fundamental problems in computer vision. Stereo vision algorithms allow us...
Nader Salman, Mariette Yvinec
125
Voted
CVPR
2003
IEEE
16 years 4 months ago
Nonparametric Belief Propagation
In many applications of graphical models arising in computer vision, the hidden variables of interest are most naturally specified by continuous, non-Gaussian distributions. There...
Erik B. Sudderth, Alexander T. Ihler, William T. F...
95
Voted
ECCV
1998
Springer
16 years 4 months ago
Is Machine Colour Constancy Good Enough?
This paper presents a negative result: current machine colour constancy algorithms are not good enough for colour-based object recognition. This result has surprised us since we ha...
Brian V. Funt, Kobus Barnard, Lindsay Martin
SDM
2011
SIAM
232views Data Mining» more  SDM 2011»
14 years 5 months ago
A Sequential Dual Method for Structural SVMs
In many real world prediction problems the output is a structured object like a sequence or a tree or a graph. Such problems range from natural language processing to computationa...
Shirish Krishnaj Shevade, Balamurugan P., S. Sunda...
ICPR
2002
IEEE
16 years 3 months ago
Pose Estimation for Central Catadioptric Systems: An Analytical Approach
The number of applications for central catadioptric systems, often called central panoramic systems, are increasing. Among these are surveillance systems, commercial systems for w...
António Paulino, Helder Araújo