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» Tracking Periodic Motion using Bayesian Estimation
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NIPS
2000
14 years 11 months ago
Learning Switching Linear Models of Human Motion
The human figure exhibits complex and rich dynamic behavior that is both nonlinear and time-varying. Effective models of human dynamics can be learned from motion capture data usi...
Vladimir Pavlovic, James M. Rehg, John MacCormick
ECCV
2004
Springer
15 years 11 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...
CRV
2011
IEEE
268views Robotics» more  CRV 2011»
13 years 9 months ago
Feature Tracking Evaluation for Pose Estimation in Underwater Environments
—In this paper we present the computer vision component of a 6DOF pose estimation algorithm to be used by an underwater robot. Our goal is to evaluate which feature trackers enab...
Florian Shkurti, Ioannis M. Rekleitis, Gregory Dud...
MICCAI
2000
Springer
15 years 1 months ago
Estimating 3D Strain from 4D Cine-MRI and Echocardiography: In-Vivo Validation
The quantitative estimation of regional cardiac deformation from 3D image sequences has important clinical implications for the assessment of myocardial viability. The validation o...
Xenophon Papademetris, Albert J. Sinusas, Donald P...
IPSN
2003
Springer
15 years 3 months ago
Maximum Mutual Information Principle for Dynamic Sensor Query Problems
In this paper we study a dynamic sensor selection method for Bayesian filtering problems. In particular we consider the distributed Bayesian Filtering strategy given in [1] and sh...
Emre Ertin, John W. Fisher, Lee C. Potter