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» Deriving Facial Articulation Models from Image Sequences
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ICCV
2009
IEEE
13 years 5 months ago
Modeling 3D human poses from uncalibrated monocular images
This paper introduces an efficient algorithm that reconstructs 3D human poses as well as camera parameters from a small number of 2D point correspondences obtained from uncalibrat...
Xiaolin K. Wei, Jinxiang Chai
ICMCS
1999
IEEE
117views Multimedia» more  ICMCS 1999»
14 years 19 hour ago
VHS to VRML: 3D Graphical Models from Video Sequences
Abstract-- We describe a method to completely automatically recover 3D scene structure together with a camera for each frame from a sequence of images acquired by an unknown camera...
Andrew Zisserman, Andrew W. Fitzgibbon, Geoffrey C...
CVPR
2007
IEEE
14 years 9 months ago
Learning and Matching Line Aspects for Articulated Objects
Traditional aspect graphs are topology-based and are impractical for articulated objects. In this work we learn a small number of aspects, or prototypical views, from video data. ...
Xiaofeng Ren
PAMI
2011
13 years 2 months ago
Facial Deblur Inference Using Subspace Analysis for Recognition of Blurred Faces
— This paper proposes a novel method for recognizing faces degraded by blur using deblurring of facial images. The main issue is how to infer a Point Spread Function (PSF) repres...
Masashi Nishiyama, Abdenour Hadid, Hidenori Takesh...
CIVR
2003
Springer
166views Image Analysis» more  CIVR 2003»
14 years 29 days ago
Evaluation of Expression Recognition Techniques
The most expressive way humans display emotions is through facial expressions. In this work we report on several advances we have made in building a system for classification of f...
Ira Cohen, Nicu Sebe, Yafei Sun, Michael S. Lew, T...