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» A computational framework for incremental motion
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179
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CVPR
2009
IEEE
16 years 10 months ago
Learning Visual Flows: A Lie Algebraic Approach
We present a novel method for modeling dynamic visual phenomena, which consists of two key aspects. First, the in- tegral motion of constituent elements in a dynamic scene is ca...
Dahua Lin, W. Eric L. Grimson, John W. Fisher III
ICCV
1999
IEEE
16 years 5 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...
147
Voted
ECCV
2004
Springer
16 years 5 months ago
Bayesian Correction of Image Intensity with Spatial Consideration
Abstract. Under dimly lit condition, it is difficult to take a satisfactory image in long exposure time with a hand-held camera. Despite the use of a tripod, moving objects in the ...
Jiaya Jia, Jian Sun, Chi-Keung Tang, Heung-Yeung S...
132
Voted
CVPR
2006
IEEE
15 years 9 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. ...
122
Voted
ACMACE
2005
ACM
15 years 9 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