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» Probabilistic Motion Sequence Generation
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CVPR
2007
IEEE
15 years 11 months ago
Discriminative Learning of Dynamical Systems for Motion Tracking
We introduce novel discriminative learning algorithms for dynamical systems. Models such as Conditional Random Fields or Maximum Entropy Markov Models outperform the generative Hi...
Minyoung Kim, Vladimir Pavlovic
SIGGRAPH
1999
ACM
15 years 2 months ago
Physically Based Motion Transformation
We introduce a novel algorithm for transforming character animation sequences that preserves essential physical properties of the motion. By using the spacetime constraints dynami...
Zoran Popovic, Andrew P. Witkin
TVCG
2010
126views more  TVCG 2010»
14 years 8 months ago
Modeling Repetitive Motions Using Structured Light
— Obtaining models of dynamic 3D objects is an important part of content generation for computer graphics. Numerous methods have been extended from static scenarios to model dyna...
Yi Xu, Daniel G. Aliaga
101
Voted
VIS
2004
IEEE
164views Visualization» more  VIS 2004»
15 years 11 months ago
Real-Time Motion Estimation and Visualization on Graphics Cards
We present a tool for real-time visualization of motion features in 2D image sequences. The motion is estimated through an eigenvector analysis of the spatiotemporal structure ten...
Christoph S. Garbe, Robert Strzodka
MVA
2007
103views Computer Vision» more  MVA 2007»
14 years 11 months ago
A Facial Sketch Animation Generator for Mobile Communication
The ability to analyze and reproduce specific-person facial expression is an important multimedia content service for mobile communication. In this paper, a novel three-layer faci...
Yuehu Liu, Yuanqi Su, Yang Yang, Fengjuan Wang, Ma...