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» Motion Detail Preserving Optical Flow Estimation
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ECCV
2008
Springer
16 years 1 months ago
SIFT Flow: Dense Correspondence across Different Scenes
While image registration has been studied in different areas of computer vision, aligning images depicting different scenes remains a challenging problem, closer to recognition tha...
Ce Liu, Jenny Yuen, Antonio B. Torralba, Josef Siv...
ISBI
2006
IEEE
15 years 5 months ago
Comparing optical-flow based methods for quantification of myocardial deformations on RT3D ultrasound
Quantitative analysis of cardiac motion is of great clinical interest in assessing ventricular function. Real-time 3-D (RT3D) ultrasound transducers provide valuable threedimensio...
Qi Duan, Elsa D. Angelini, Olivier Gérard, ...
ECCV
2000
Springer
16 years 1 months ago
Stochastic Tracking of 3D Human Figures Using 2D Image Motion
A probabilistic method for tracking 3D articulated human figures in monocular image sequences is presented. Within a Bayesian framework, we define a generative model of image appea...
Hedvig Sidenbladh, Michael J. Black, David J. Flee...
CVPR
2008
IEEE
16 years 1 months ago
Directions of egomotion from antipodal points
We present a novel geometrical constraint on the egomotion of a single, moving camera. Using a camera with a large field-of-view (FOV), the optical flow measured at a single pair ...
John Lim, Nick Barnes
DAGM
2010
Springer
14 years 12 months ago
Tracking People in Broadcast Sports
Abstract. We present a method for tracking people in monocular broadcast sports videos by coupling a particle filter with a vote-based confidence map of athletes, appearance featur...
Angela Yao, Dominique Uebersax, Juergen Gall, Luc ...