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CVPR
2009
IEEE
1866views Computer Vision» more  CVPR 2009»
16 years 7 months ago
Understanding and evaluating blind deconvolution algorithms
Blind deconvolution is the recovery of a sharp version of a blurred image when the blur kernel is unknown. Recent algorithms have afforded dramatic progress, yet many aspects of...
Anat Levin, Yair Weiss, Frédo Durand, Willi...
CVPR
2003
IEEE
16 years 1 months ago
Finding and Tracking People from the Bottom Up
We describe a tracker that can track moving people in long sequences without manual initialization. Moving people are modeled with the assumption that, while configuration can var...
Deva Ramanan, David A. Forsyth
CVPR
2003
IEEE
16 years 1 months ago
Stereo Matching with Reflections and Translucency
In this paper, we address the stereo matching problem in the presence of reflections and translucency, where image formation can be modeled as the additive superposition of layers...
Yanghai Tsin, Sing Bing Kang, Richard Szeliski
CVPR
2004
IEEE
16 years 1 months ago
3D Facial Tracking from Corrupted Movie Sequences
In this paper we perform 3D face tracking on corrupted video sequences. We use a deformable model, combined with a predictive filter, to recover both the rigid transformations and...
Siome Goldenstein, Christian Vogler, Dimitris N. M...
CVPR
2005
IEEE
16 years 1 months ago
Shape from Shading: A Well-Posed Problem?
Shape From Shading is known to be an ill-posed problem. We show in this paper that if we model the problem in a different way than it is usually done, more precisely by taking int...
Emmanuel Prados, Olivier D. Faugeras