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» Estimating human shape and pose from a single image
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CVPR
2008
IEEE
15 years 11 months ago
Context and observation driven latent variable model for human pose estimation
Current approaches to pose estimation and tracking can be classified into two categories: generative and discriminative. While generative approaches can accurately determine human...
Abhinav Gupta, Trista Chen, Francine Chen, Don Kim...
ECCV
2002
Springer
15 years 11 months ago
Estimation of Multiple Illuminants from a Single Image of Arbitrary Known Geometry
We present a new method for the detection and estimation of multiple illuminants, using one image of any object with known geometry and Lambertian reflectance. Our method obviates ...
Yang Wang, Dimitris Samaras
ICIP
2007
IEEE
15 years 11 months ago
Super-Resolved Facial Texture Under Changing Pose and Illumination
In this paper, we propose a method to incrementally superresolve 3D facial texture by integrating information frame by frame from a video captured under changing poses and illumin...
Jiangang Yu, Bir Bhanu, Yilei Xu, Amit K. Roy Chow...
CVPR
1998
IEEE
15 years 10 months ago
A New Complex Basis for Implicit Polynomial Curves and its Simple Exploitation for Pose Estimation and Invariant Recognition
New representations are developed for 2D IP (implicit polynomial) curves ofarbitrary degree. These representations permit shape recognition and pose estimation with essentially sin...
David B. Cooper, Jean-Philippe Tarel
104
Voted
CVPR
2003
IEEE
15 years 11 months ago
Shape-From-Silhouette of Articulated Objects and its Use for Human Body Kinematics Estimation and Motion Capture
Shape-From-Silhouette (SFS), also known as Visual Hull (VH) construction, is a popular 3D reconstruction method which estimates the shape of an object from multiple silhouette ima...
German K. M. Cheung, Simon Baker, Takeo Kanade