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» Recovering Euclidean deformable models from stereo-motion
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CVPR
2009
IEEE
3130views Computer Vision» more  CVPR 2009»
16 years 8 months ago
Motion Capture Using Joint Skeleton Tracking and Surface Estimation
This paper proposes a method for capturing the performance of a human or an animal from a multi-view video sequence. Given an articulated template model and silhouettes from a m...
Juergen Gall (BIWI, ETH Zurich), Carsten Stoll (Ma...
VMV
2003
181views Visualization» more  VMV 2003»
15 years 2 months ago
2.5D Active Contour for Surface Reconstruction
In this paper, we present a new deformable model — 2.5D Active Contour— that is capable of directly extracting shape geometry from 3D unorganized point cloud datasets. The rec...
Ye Duan, Hong Qin
ICCV
2007
IEEE
15 years 7 months ago
Shape Priors using Manifold Learning Techniques
We introduce a non-linear shape prior for the deformable model framework that we learn from a set of shape samples using recent manifold learning techniques. We model a category o...
Patrick Etyngier, Florent Ségonne, Renaud K...
CVPR
2009
IEEE
16 years 8 months ago
In Defense of Orthonormality Constraints for Nonrigid Structure from Motion
In factorization approaches to nonrigid structure from motion, the 3D shape of a deforming object is usually modeled as a linear combination of a small number of basis shapes. T...
Ijaz Akhter (LUMS, Lahore, Pakistan), Yaser Sheikh...
PAMI
2002
78views more  PAMI 2002»
15 years 1 months ago
Robust Factorization
Factorization algorithms for recovering structure and motion from an image stream have many advantages, but they usually require a set of well tracked features. Such a set is in g...
Henrik Aanæs, Rune Fisker, Kalle Åstr&...