117 search results - page 7 / 24 » Learning Non-Rigid 3D Shape from 2D Motion |
115
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BMVC
2010
14 years 9 months ago
2010
Recognizing 3D objects from arbitrary view points is one of the most fundamental problems in computer vision. A major challenge lies in the transition between the 3D geometry of o...
102
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PAMI
2008
14 years 11 months ago
2008
This paper describes methods for recovering time-varying shape and motion of nonrigid 3D objects from uncalibrated 2D point tracks. For example, given a video recording of a talkin...
119
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ICCV
2007
IEEE
16 years 1 months ago
2007
IEEE
Reliable 3D tracking is still a difficult task. Most parametrized 3D deformable models rely on the accurate extraction of image features for updating their parameters, and are pro...
106
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CVPR
2000
IEEE
16 years 1 months ago
2000
IEEE
Inferring both 3D structure and motion of nonrigid objects from monocular images is an important problem in computational vision. The challenges stem not only from the absence of ...
81
Voted
CEC
2010
IEEE
15 years 21 days ago
2010
IEEE
This paper proposes a method for reconstructing non-rigid 3D shapes from noisy 2D shapes. The proposed method estimates the 3D shape bases and projection matrices, exploiting low-r...