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» A Generative Model Based Approach to Motion Segmentation
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CA
2003
IEEE
14 years 1 months ago
Expressive Gesture Animation Based on Non Parametric Learning of Sensory-Motor Models
This paper presents an efficient method of learning motion control for autonomous animated characters. The method uses a non parametric learning approach which identifies non line...
Sylvie Gibet, Pierre-Francois Marteau
DMIN
2009
142views Data Mining» more  DMIN 2009»
13 years 6 months ago
Action Selection in Customer Value Optimization: An Approach Based on Covariate-Dependent Markov Decision Processes
Typical methods in CRM marketing include action selection on the basis of Markov Decision Processes with fixed transition probabilities on the one hand, and scoring customers separ...
Angi Roesch, Harald Schmidbauer
ICCV
2007
IEEE
14 years 10 months ago
Hierarchical Part-Template Matching for Human Detection and Segmentation
Local part-based human detectors are capable of handling partial occlusions efficiently and modeling shape articulations flexibly, while global shape template-based human detector...
Zhe Lin, Larry S. Davis, David S. Doermann, Daniel...
CVPR
2010
IEEE
14 years 29 days ago
Object Recognition as Ranking Holistic Figure-Ground Hypotheses
We present an approach to visual object-class recognition and segmentation based on a pipeline that combines multiple, holistic figure-ground hypotheses generated in a bottom-up,...
Fuxin Li, JoãCarreira, Cristian Sminchisescu
3DPVT
2004
IEEE
155views Visualization» more  3DPVT 2004»
13 years 12 months ago
Markerless Human Motion Transfer
In this paper we develop a computer vision-based system to transfer human motion from one subject to another. Our system uses a network of eight calibrated and synchronized camera...
German K. M. Cheung, Simon Baker, Jessica K. Hodgi...