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» Modeling Multigrid Algorithms for Variational Imaging
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CVPR
2008
IEEE
16 years 6 months ago
Illumination and Camera Invariant Stereo Matching
Color information can be used as a basic and crucial cue for finding correspondence in a stereo matching algorithm. In a real scene, however, image colors are affected by various g...
Yong Seok Heo (Seoul National University), Kyoung ...
EMMCVPR
2009
Springer
15 years 8 months ago
Tracking as Segmentation of Spatial-Temporal Volumes by Anisotropic Weighted TV
Abstract. Tracking is usually interpreted as finding an object in single consecutive frames. Regularization is done by enforcing temporal smoothness of appearance, shape and motio...
Markus Unger, Thomas Mauthner, Thomas Pock, Horst ...
IROS
2006
IEEE
136views Robotics» more  IROS 2006»
15 years 8 months ago
Panoramic View-Based Navigation in Outdoor Environments Based on Support Vector Learning
— This paper describes a panoramic view-based navigation in outdoor environments. We have been developing a two-phase navigation method. In the training phase, the robot acquires...
Hideo Morita, Michael Hild, Jun Miura, Yoshiaki Sh...
ICPR
2006
IEEE
16 years 3 months ago
Part-Based Probabilistic Point Matching
Correspondence algorithms typically struggle with shapes that display part-based variation. We present a probabilistic approach that matches shapes using independent part transfor...
Graham McNeill, Sethu Vijayakumar
ICCV
2011
IEEE
14 years 1 months ago
Fourier Active Appearance Models
Gaining invariance to camera and illumination variations has been a well investigated topic in Active Appearance Model (AAM) fitting literature. The major problem lies in the ina...
Rajitha Navarathna, Sridha Sridharan, Simon Lucey