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» Learning 3-D object orientation from images
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ICIP
2005
IEEE
14 years 10 months ago
Fusion of multiple viewpoint information towards 3D face robust orientation detection
This paper presents a novel approach to the problem of determining head pose estimation and face 3D orientation of several people in low resolution sequences from multiple calibra...
Cristian Canton-Ferrer, Josep R. Casas, Montse Par...
CVPR
2010
IEEE
14 years 1 months ago
Exploiting Global Connectivity Constraints for Reconstruction of 3D Line Segments from Images
Given a set of 2D images, we propose a novel approach for the reconstruction of straight 3D line segments that represent the underlying geometry of static 3D objects in the scene....
Arjun Jain, Christian Kurz, Thorsten Thormaehlen, ...
UAI
2004
13 years 9 months ago
Recovering Articulated Object Models from 3D Range Data
We address the problem of unsupervised learning of complex articulated object models from 3D range data. We describe an algorithm whose input is a set of meshes corresponding to d...
Dragomir Anguelov, Daphne Koller, Hoi-Cheung Pang,...
JVCA
2000
232views more  JVCA 2000»
13 years 8 months ago
Realistic surface reconstruction of 3D scenes from uncalibrated image sequences
This contribution addresses the problem of obtaining 3D models from image sequences. A 3D surface description of the scene is extracted completely from a set of uncalibrated camer...
Reinhard Koch, Marc Pollefeys, Luc J. Van Gool
RAS
2007
115views more  RAS 2007»
13 years 8 months ago
A variational method for the recovery of dense 3D structure from motion
The purpose of this study is to investigate a variational formulation of the problem of three-dimensional (3D) interpretation of temporal image sequences based on the 3D brightnes...
Hicham Sekkati, Amar Mitiche