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» Computing Robustness and Persistence for Images
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CVPR
2006
IEEE
16 years 6 months ago
Accurate Face Alignment using Shape Constrained Markov Network
In this paper, we present a shape constrained Markov network for accurate face alignment. The global face shape is defined as a set of weighted shape samples which are integrated ...
Lin Liang, Fang Wen, Ying-Qing Xu, Xiaoou Tang, He...
CVPR
2006
IEEE
16 years 6 months ago
Learning Patch Dependencies for Improved Pose Mismatched Face Verification
Most pose robust face verification algorithms, which employ 2D appearance, rely heavily on statistics gathered from offline databases containing ample facial appearance variation ...
Simon Lucey, Tsuhan Chen
CVPR
2008
IEEE
16 years 6 months ago
Structure learning in random fields for heart motion abnormality detection
Coronary Heart Disease can be diagnosed by assessing the regional motion of the heart walls in ultrasound images of the left ventricle. Even for experts, ultrasound images are dif...
Glenn Fung, Kevin Murphy, Mark Schmidt, Róm...
CVPR
2008
IEEE
16 years 6 months ago
Extrinsic and depth calibration of ToF-cameras
Recently, ToF-cameras have attracted attention because of their ability to generate a full 21 2 D depth image at video frame rates. Thus, ToF-cameras are suitable for real-time 3D...
Stefan Fuchs, Gerd Hirzinger
ICCV
2007
IEEE
16 years 6 months ago
Multi-Object Tracking Through Clutter Using Graph Cuts
The standard graph cut technique is a robust method for globally optimal image segmentations. However, because of its global nature, it is prone to capture outlying areas similar ...
Allen Tannenbaum, James G. Malcolm, Yogesh Rathi