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ICCV
1999
IEEE
13 years 10 months ago
Bayesian Structure from Motion
:We formulate structure from motion as a Bayesian inference problem, and use a Markov chain Monte Carlo sampler to sample the posterior on this problem. This results in a method th...
David A. Forsyth, Sergey Ioffe, John A. Haddon
PRL
2008
198views more  PRL 2008»
13 years 6 months ago
Pose estimation and tracking using multivariate regression
This paper presents an extension of the relevance vector machine (RVM) algorithm to multivariate regression. This allows the application to the task of estimating the pose of an a...
Arasanathan Thayananthan, Ramanan Navaratnam, Bj&o...
MVA
2002
119views Computer Vision» more  MVA 2002»
13 years 5 months ago
A Cooperative Method of SFM and Stereo for Motion and Depth Extraction
Stereo is a useful technique for obtaining depth information from images. However, it is required that the baseline length between two cameras should be large to increase depth pr...
Jae-Hean Kim, Myung Jin Chung
CVPR
2000
IEEE
14 years 8 months ago
Hierarchical Structure and Nonrigid Motion Recovery from 2D Monocular Views
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 ...
Lin Zhou, Chandra Kambhamettu
ECCV
2002
Springer
14 years 7 months ago
Surviving Dominant Planes in Uncalibrated Structure and Motion Recovery
In this paper we address the problem of uncalibrated structure and motion recovery from image sequences that contain dominant planes in some of the views. Traditional approaches fa...
Marc Pollefeys, Frank Verbiest, Luc J. Van Gool