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» Non-Iterative Approach to Multiple 2D Motion Estimation
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CVPR
2008
IEEE
14 years 2 months ago
3D face tracking and expression inference from a 2D sequence using manifold learning
We propose a person-dependent, manifold-based approach for modeling and tracking rigid and nonrigid 3D facial deformations from a monocular video sequence. The rigid and nonrigid ...
Wei-Kai Liao, Gérard G. Medioni
IJCV
2006
110views more  IJCV 2006»
13 years 7 months ago
Multi-body Factorization with Uncertainty: Revisiting Motion Consistency
Dynamic analysis of video sequences often relies on the segmentation of the sequence into regions of consistent motions. Approaching this problem requires a definition of which mo...
Lihi Zelnik-Manor, Moshe Machline, Michal Irani
AIPR
2001
IEEE
13 years 11 months ago
Model-Based Face Tracking for Dense Motion Field Estimation
When estimating the dense motion field of a video sequence, if little is known or assumed about the content, a limited constraint approach such as optical flow must be used. Since...
Timothy F. Gee, Russell M. Mersereau
CVPR
2008
IEEE
14 years 2 months ago
Retinal image registration from 2D to 3D
We propose a 2D registration method for multi-modal image sequences of the retinal fundus, and a 3D metric reconstruction of near planar surface from multiple views. There are two...
Yuping Lin, Gérard G. Medioni
PAMI
2011
12 years 10 months ago
Motion Field Estimation from Alternate Exposure Images
—Traditional optical flow algorithms rely on consecutive short-exposed images. In this work, we make use of an additional long-exposed image for motion field estimation. Long-e...
Anita Sellent, Martin Eisemann, Bastian Goldlü...