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» Computer Vision: Algorithms and Applications
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CVPR
2007
IEEE
16 years 7 months ago
Discriminative Learning of Dynamical Systems for Motion Tracking
We introduce novel discriminative learning algorithms for dynamical systems. Models such as Conditional Random Fields or Maximum Entropy Markov Models outperform the generative Hi...
Minyoung Kim, Vladimir Pavlovic
CVPR
2007
IEEE
16 years 7 months ago
Connecting the Out-of-Sample and Pre-Image Problems in Kernel Methods
Kernel methods have been widely studied in the field of pattern recognition. These methods implicitly map, "the kernel trick," the data into a space which is more approp...
Pablo Arias, Gregory Randall, Guillermo Sapiro
CVPR
2008
IEEE
16 years 7 months ago
Radiometric calibration with illumination change for outdoor scene analysis
The images of an outdoor scene collected over time are valuable in studying the scene appearance variation which can lead to novel applications and help enhance existing methods t...
Seon Joo Kim, Jan-Michael Frahm, Marc Pollefeys
ECCV
2010
Springer
15 years 8 months ago
Disparity statistics for pedestrian detection: Combining appearance, motion, and stereo
Pedestrian detection is an important problem in computer vision due to its importance for applications such as visual surveillance, robotics, and automotive safety. This paper push...
ICPR
2006
IEEE
16 years 6 months ago
Effective and Generic Structure from Motion using Angular Error
Generic camera modeling using raxels and associated methods was recently introduced in Computer Vision. The main advantage is the applicability for any camera model, which contras...
Maxime Lhuillier