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» A Fast Algorithm for Rigid Structure from Image Sequences
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ICIP
2008
IEEE
14 years 2 months ago
Globally optimal solution to exploit rigidity when recovering structure from motion under occlusion
Widely used SVD-based matrix factorization approaches to the recovery of 3D rigid structure from motion (SFM), require a set of feature points to be visible in a set of images. Wh...
Pedro M. Q. Aguiar, João M. F. Xavier, Mark...
CVPR
2010
IEEE
14 years 3 months ago
Model Evolution: An Incremental Approach to Non-Rigid Structure from Motion
In this paper, we present a new framework for non-rigid structure from motion (NRSFM) that simultaneously addresses three significant challenges: severe occlusion, perspective ca...
Shengqi Zhu, Li Zhang, Brandon Smith
ICVGIP
2004
13 years 9 months ago
Learning Layered Pictorial Structures from Video
We propose a new unsupervised learning method to obtain a layered pictorial structure (LPS) representation of an articulated object from video sequences. It will be seen that this...
M. Pawan Kumar, Philip H. S. Torr, Andrew Zisserma...
IROS
2006
IEEE
171views Robotics» more  IROS 2006»
14 years 1 months ago
Fast central catadioptric line extraction, estimation, tracking and structure from motion
— In this paper we present an analysis of 3D line projections for central catadioptric cameras from a projective perspective. Most algorithms consider the projection of lines as ...
Christopher Mei, Ezio Malis
CVPR
2000
IEEE
14 years 9 months ago
Recovering Non-Rigid 3D Shape from Image Streams
This paper addresses the problem of recovering 3D non-rigid shape models from image sequences. For example, given a video recording of a talking person, we would like to estimate ...
Christoph Bregler, Aaron Hertzmann, Henning Bierma...