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» Deriving Intrinsic Images from Image Sequences
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92
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NIPS
1998
15 years 2 months ago
A Phase Space Approach to Minimax Entropy Learning and the Minutemax Approximations
There has been much recent work on measuring image statistics and on learning probability distributions on images. We observe that the mapping from images to statistics is many-to...
James M. Coughlan, Alan L. Yuille
MIA
2010
132views more  MIA 2010»
14 years 7 months ago
Respiratory motion compensation by model-based catheter tracking during EP procedures
In many cases, radio-frequency catheter ablation of the pulmonary veins attached to the left atrium still involves fluoroscopic image guidance. Twodimensional X-ray navigation may...
Alexander Brost, Rui Liao, Norbert Strobel, Joachi...
114
Voted
CVPR
2004
IEEE
16 years 3 months ago
Probabilistic Expression Analysis on Manifolds
In this paper, we propose a probabilistic videobased facial expression recognition method on manifolds. The concept of the manifold of facial expression is based on the observatio...
Ya Chang, Changbo Hu, Matthew Turk
120
Voted
CVPR
2004
IEEE
16 years 3 months ago
Lie-Algebraic Averaging for Globally Consistent Motion Estimation
While motion estimation has been extensively studied in the computer vision literature, the inherent information redundancy in an image sequence has not been well utilised. In par...
Venu Madhav Govindu
ACCV
2007
Springer
15 years 7 months ago
Learning Generative Models for Monocular Body Pose Estimation
We consider the problem of monocular 3d body pose tracking from video sequences. This task is inherently ambiguous. We propose to learn a generative model of the relationship of bo...
Tobias Jaeggli, Esther Koller-Meier, Luc J. Van Go...