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» Learning Parameterized Models of Image Motion
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SIGGRAPH
1999
ACM
15 years 1 months ago
Voice Puppetry
We introduce a method for predicting a control signal from another related signal, and apply it to voice puppetry: Generating full facial animation from expressive information in ...
Matthew Brand
IJCV
1998
163views more  IJCV 1998»
14 years 9 months ago
CONDENSATION - Conditional Density Propagation for Visual Tracking
The problem of tracking curves in dense visual clutter is challenging. Kalman filtering is inadequate because it is based on Gaussian densities which, being unimodal, cannot repre...
Michael Isard, Andrew Blake
ICCV
2007
IEEE
15 years 3 months ago
Fast Automatic Heart Chamber Segmentation from 3D CT Data Using Marginal Space Learning and Steerable Features
Multi-chamber heart segmentation is a prerequisite for global quantification of the cardiac function. The complexity of cardiac anatomy, poor contrast, noise or motion artifacts ...
Yefeng Zheng, Adrian Barbu, Bogdan Georgescu, Mich...
CIVR
2003
Springer
166views Image Analysis» more  CIVR 2003»
15 years 2 months 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...
APGV
2004
ACM
176views Visualization» more  APGV 2004»
15 years 3 months ago
Towards perceptually realistic talking heads: models, methods and McGurk
Motivated by the need for an informative, unbiased and quantitative perceptual method for the development and evaluation of a talking head we are developing, we propose a new test...
Darren Cosker, Susan Paddock, A. David Marshall, P...