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» Learning Non-Rigid 3D Shape from 2D Motion
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ICCV
2001
IEEE
16 years 1 months ago
Combining Single View Recognition and Multiple View Stereo for Architectural Scenes
This paper describes a structure from motion and recognition paradigm for generating 3D models from 2D sets of images. In particular we consider the domain of architectural photog...
Anthony R. Dick, Philip H. S. Torr, Simon J. Ruffl...
ICCV
2003
IEEE
16 years 1 months ago
Dense Shape Reconstruction of a Moving Object under Arbitrary, Unknown Lighting
We present a method for shape reconstruction from several images of a moving object. The reconstruction is dense (up to image resolution). The method assumes that the motion is kn...
Denis Simakov, Darya Frolova, Ronen Basri
90
Voted
CVPR
2007
IEEE
16 years 1 months ago
Detailed Human Shape and Pose from Images
Much of the research on video-based human motion capture assumes the body shape is known a priori and is represented coarsely (e.g. using cylinders or superquadrics to model limbs...
Alexandru O. Balan, Leonid Sigal, Michael J. Black...
GECCO
2009
Springer
204views Optimization» more  GECCO 2009»
15 years 4 months ago
Combined structure and motion extraction from visual data using evolutionary active learning
We present a novel stereo vision modeling framework that generates approximate, yet physically-plausible representations of objects rather than creating accurate models that are c...
Krishnanand N. Kaipa, Josh C. Bongard, Andrew N. M...
MM
2004
ACM
277views Multimedia» more  MM 2004»
15 years 5 months ago
Avatar-mediated face tracking and lip reading for human computer interaction
Advanced human computer interaction requires automatic reading of human face in order to make the computer interact with human in the same way as human-to-human communication. We ...
Xiaozhou Wei, Lijun Yin, Zhiwei Zhu, Qiang Ji