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» Graph-Theoretical Methods in Computer Vision
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COMPGEOM
2009
ACM
16 years 16 days 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
CVPR
2003
IEEE
16 years 8 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...
ECCV
1998
Springer
16 years 7 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 8 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 7 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