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» Motion Detail Preserving Optical Flow Estimation
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MM
2004
ACM
212views Multimedia» more  MM 2004»
15 years 5 months ago
Nonparametric motion model
Motion information is a powerful cue for visual perception. In the context of video indexing and retrieval, motion content serves as a useful source for compact video representati...
Ling-Yu Duan, Min Xu, Qi Tian, Changsheng Xu
FGR
1996
IEEE
186views Biometrics» more  FGR 1996»
15 years 3 months ago
Cardboard People: A Parameterized Model of Articulated Image Motion
We extend the work of Black and Yacoob on the tracking and recognition of human facial expressions using parameterized models of optical flow to deal with the articulatedmotion of...
Shanon X. Ju, Michael J. Black, Yaser Yacoob
CVPR
2010
IEEE
15 years 6 months ago
Motion Estimation with Non-Local Total Variation Regularization
State-of-the-art motion estimation algorithms suffer from three major problems: Poorly textured regions, occlusions and small scale image structures. Based on the Gestalt principle...
Manuel Werlberger, Thomas Pock, Horst Bischof
ICIP
2007
IEEE
16 years 1 months ago
Direct Motion Estimation in the Radon Transform Domain using Match-Profile Backprojections
Integral projections have been proposed as an efficient method to reduce the dimensionality of the search space in motion estimation (ME) algorithms. A number of papers describe m...
Chris Bartels, Gerard de Haan
IROS
2009
IEEE
149views Robotics» more  IROS 2009»
15 years 6 months ago
Optical flow on a flapping wing robot
— Optical flow sensing techniques are promising for obstacle avoidance, distance regulation, and moving target tracking, particularly for small mobile robots with limited power ...
Fernando Garcia Bermudez, Ronald S. Fearing