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» Correspondence-free Structure from Motion
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NIPS
2003
15 years 3 months ago
Automatic Annotation of Everyday Movements
This paper describes a system that can annotate a video sequence with: a description of the appearance of each actor; when the actor is in view; and a representation of the actorâ...
Deva Ramanan, David A. Forsyth
ICRA
2010
IEEE
142views Robotics» more  ICRA 2010»
15 years 12 days ago
Learning and planning high-dimensional physical trajectories via structured Lagrangians
— We consider the problem of ï¬nding sufï¬ciently simple models of high-dimensional physical systems that are consistent with observed trajectories, and using these models to s...
Paul Vernaza, Daniel D. Lee, Seung-Joon Yi
ICPR
2004
IEEE
16 years 3 months ago
Large Scene Reconstruction with Local Details Recovery
We propose a method to recover the global structure with local details around a point. To handle a large scale of motion i.e. 360 degree around the point, we use an optimization-b...
Siu-Hang Or, Kin-hong Wong, Michael Ming-Yuen Chan...
ICCV
2009
IEEE
16 years 6 months ago
Moving in Stereo: Efficient Structure and Motion Using Lines
We present a fast and robust system for estimating structure and motion using a stereo pair, with straight lines as features. Our first set of contributions are efficient algorit...
Manmohan Chandraker, Jongwoo Lim, David Kriegman
ECCV
2008
Springer
16 years 3 months ago
Unsupervised Learning of Skeletons from Motion
Abstract. Humans demonstrate a remarkable ability to parse complicated motion sequences into their constituent structures and motions. We investigate this problem, attempting to le...
David A. Ross, Daniel Tarlow, Richard S. Zemel