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ICASSP
2009
IEEE
14 years 8 days ago
Background recovery from video sequences using motion parameters
This paper presents a novel scheme for extracting a still background occluded by a number of foreground objects, moving in different directions and velocities in a video sequence,...
Srenivas Varadarajan, Lina J. Karam, Dinei Florenc...
MVA
1990
208views Computer Vision» more  MVA 1990»
13 years 6 months ago
3-D Shape Reconstruction from Camera Motion with Inexact Motion Parameters
When a sequence of images are obtained by a moving camera, if the exact camera velocity and corresponding points on the images are determined, the 3-D shape of the object can be r...
Keisuke Kinoshita, Koichiro Deguchi
ICCV
2011
IEEE
12 years 5 months ago
Automated Articulated Structure and 3D Shape Recovery from Point Correspondences
In this paper we propose a new method for the simultaneous segmentation and 3D reconstruction of interest point based articulated motion. We decompose a set of point tracks into r...
Joao Fayad, Chris Russell, Lourdes Agapito
EMMCVPR
1999
Springer
13 years 9 months ago
Maximum Likelihood Inference of 3D Structure from Image Sequences
The paper presents a new approach to recovering the 3D rigid shape of rigid objects from a 2D image sequence. The method has two distinguishing features: it exploits the rigidity o...
Pedro M. Q. Aguiar, José M. F. Moura
ECCV
2006
Springer
13 years 9 months ago
A Batch Algorithm for Implicit Non-rigid Shape and Motion Recovery
The recovery of 3D shape and camera motion for non-rigid scenes from single-camera video footage is a very important problem in computer vision. The low-rank shape model consists ...
Adrien Bartoli, Søren I. Olsen