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PG
2003
IEEE
16 years 11 days ago
Motion Perturbation Based on Simple Neuromotor Control Models
Motion capture is widely used for character animation. One of the major challenges of this technique is how to modify the captured motion in plausible ways. Previous work has focu...
KangKang Yin, Michael B. Cline, Dinesh K. Pai
ICMCS
2000
IEEE
138views Multimedia» more  ICMCS 2000»
15 years 11 months ago
Event-Coupled Hidden Markov Models
Inferences from time-series data can be greatly enhanced by taking into account multiple modalities. In some cases, such as audio of speech and the corresponding video of lip gest...
Trausti T. Kristjansson, Brendan J. Frey, Thomas S...
ICCV
2005
IEEE
16 years 9 months ago
Probabilistic Boosting-Tree: Learning Discriminative Models for Classification, Recognition, and Clustering
In this paper, a new learning framework?probabilistic boosting-tree (PBT), is proposed for learning two-class and multi-class discriminative models. In the learning stage, the pro...
Zhuowen Tu
ICPR
2004
IEEE
16 years 8 months ago
Neural Network Based Modeling and Color Rendering for Mixed Reality
This paper describes a new approach to color image rendering for mixed reality applications. The approach has two steps. The first uses neural network based photometric stereo to ...
Haruki Kawanaka, Kenji Funahashi, Robert J. Woodha...
ICIP
2006
IEEE
16 years 1 months ago
Modelization of Limb Coordination for Human Action Analysis
This paper analyzes the movements of the human body limbs (hands, feet and head) and center of gravity in order to detect simple actions such as walking, jumping and displacing an...
Kosta Gaitanis, Pedro Correa, Benoit M. Macq