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» Local deformation models for monocular 3D shape recovery
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CVPR
2004
IEEE
15 years 11 months ago
3D Human Pose from Silhouettes by Relevance Vector Regression
We describe a learning based method for recovering 3D human body pose from single images and monocular image sequences. Our approach requires neither an explicit body model nor pr...
Ankur Agarwal, Bill Triggs
ISBI
2007
IEEE
15 years 4 months ago
Locally Adaptive Autoregressive Active Models for Segmentation of 3d Anatomical Structures
Many techniques of knowledge-based segmentation consist of building statistical models that describe the deformations of the structure of interest, and then fit these models to t...
Charles Florin, Nikos Paragios, Gareth Funka-Lea, ...
CVPR
2008
IEEE
15 years 4 months ago
3D face tracking and expression inference from a 2D sequence using manifold learning
We propose a person-dependent, manifold-based approach for modeling and tracking rigid and nonrigid 3D facial deformations from a monocular video sequence. The rigid and nonrigid ...
Wei-Kai Liao, Gérard G. Medioni
ECCV
2004
Springer
15 years 11 months ago
A Closed-Form Solution to Non-rigid Shape and Motion Recovery
Recovery of three dimensional (3D) shape and motion of non-static scenes from a monocular video sequence is important for applications like robot navigation and human computer inte...
Jing Xiao, Jinxiang Chai, Takeo Kanade
PR
2008
140views more  PR 2008»
14 years 9 months ago
A spatio-temporal 2D-models framework for human pose recovery in monocular sequences
This paper addresses the pose recovery problem of a particular articulated object: the human body. In this model-based approach, the 2D-shape is associated to the corresponding st...
Grégory Rogez, Carlos Orrite-Uruñuel...