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ICCV
2009
IEEE
15 years 1 months ago
Structure- and Motion-adaptive Regularization for High Accuracy Optic Flow
The accurate estimation of motion in image sequences is of central importance to numerous computer vision applications. Most competitive algorithms compute flow fields by minimi...
Andreas Wedel, Daniel Cremers, Thomas Pock, Horst ...
ICPR
2008
IEEE
14 years 10 months ago
Depth-based image mosaicing for both static and dynamic scenes
Traditional image-based mosaicing deals with the problem of parallax by imposing constraints of a parallax-free camera configuration or requiring a dense sampling of the scene. Th...
Qi Zhi, Jeremy R. Cooperstock
FGR
2011
IEEE
227views Biometrics» more  FGR 2011»
13 years 14 days ago
Warp that smile on your face: Optimal and smooth deformations for face recognition
— In this work, we present novel warping algorithms for full 2D pixel-grid deformations for face recognition. Due to high variation in face appearance, face recognition is consid...
Tobias Gass, Leonid Pishchulin, Philippe Dreuw, He...
ECCV
2002
Springer
14 years 11 months ago
Regularized Shock Filters and Complex Diffusion
We address the issue of regularizing Osher and Rudin's shock filter, used for image deblurring, in order to allow processes that are more robust against noise. Previous soluti...
Guy Gilboa, Nir A. Sochen, Yehoshua Y. Zeevi
CVPR
1997
IEEE
14 years 11 months ago
Learning Parameterized Models of Image Motion
A framework for learning parameterized models of optical flow from image sequences is presented. A class of motions is represented by a set of orthogonal basis flow fields that ar...
Michael J. Black, Yaser Yacoob, Allan D. Jepson, D...