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» Deriving Facial Articulation Models from Image Sequences
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ISCIS
2003
Springer
14 years 27 days ago
Model-Based Human Motion Capture from Monocular Video Sequences
Generating motion and capturing motion of an articulated body for computer animation is an expensive and time-consuming task. Conventionally, animators manually generate intermedia...
Jihun Park, Sangho Park, Jake K. Aggarwal
CVPR
2005
IEEE
14 years 9 months ago
Full Body Tracking from Multiple Views Using Stochastic Sampling
We present a novel approach for full body pose tracking using stochastic sampling. A volumetric reconstruction of a person is extracted from silhouettes in multiple video images. ...
Roland Kehl, Matthieu Bray, Luc J. Van Gool
ICIP
2006
IEEE
14 years 9 months ago
Submotions for Hidden Markov Model Based Dynamic Facial Action Recognition
Video based analysis of a persons' mood or behavior is in general performed by interpreting various features observed on the body. Facial actions, such as speaking, yawning o...
Dejan Arsic, Joachim Schenk, Björn Schuller, ...
CG
2006
Springer
13 years 7 months ago
Facial animation based on context-dependent visemes
This paper presents a novel approach for the generation of realistic speech synchronized 3D facial animation that copes with anticipatory and perseveratory coarticulation. The met...
José Mario De Martino, Léo Pini Maga...
CVPR
2004
IEEE
14 years 9 months ago
A Unified Spatio-Temporal Articulated Model for Tracking
Tracking articulated objects in image sequences remains a challenging problem, particularly in terms of the ability to localize the individual parts of an object given selfocclusi...
Xiangyang Lan, Daniel P. Huttenlocher