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» A Computational Framework for Handling Motion
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ICCV
1999
IEEE
14 years 11 months ago
A Dynamic Bayesian Network Approach to Figure Tracking using Learned Dynamic Models
The human figure exhibits complex and rich dynamic behavior that is both nonlinear and time-varying. However, most work on tracking and synthesizing figure motion has employed eit...
Vladimir Pavlovic, James M. Rehg, Tat-Jen Cham, Ke...
CVPR
2006
IEEE
14 years 3 months ago
Learning Joint Top-Down and Bottom-up Processes for 3D Visual Inference
We present an algorithm for jointly learning a consistent bidirectional generative-recognition model that combines top-down and bottom-up processing for monocular 3d human motion ...
Cristian Sminchisescu, Atul Kanaujia, Dimitris N. ...
ACMACE
2005
ACM
14 years 2 months ago
Integrate and conquer: the next generation of intelligent avatars
FreeWill+ is a framework that aims at integrating various animation techniques for controlling human-like characters. With heterogeneity and multi-layering as its main design prin...
Jaroslaw Francik, Adam Szarowicz
CGF
2006
115views more  CGF 2006»
13 years 9 months ago
Reflected-Scene Impostors for Realistic Reflections at Interactive Rates
We present a technique for rendering reflections on complex reflectors at interactive rates based on approximating the geometry of the reflected scene with impostors. The reflecti...
Voicu Popescu, Chunhui Mei, Jordan Dauble, Elisha ...
VC
2010
217views more  VC 2010»
13 years 7 months ago
Solving the Shallow Water equations using 2D SPH particles for interactive applications
In this paper, we introduce a 2D particle-based approach to achieve realistic water surface behaviors for interactive applications. We formulate 2D particle-based Shallow Water equ...
Hyokwang Lee, Soonhung Han