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GW
2009
Springer
226views Biometrics» more  GW 2009»
13 years 8 months ago
Statistical Gesture Models for 3D Motion Capture from a Library of Gestures with Variants
A challenge for 3D motion capture by monocular vision is 3D-2D projection ambiguities that may bring incorrect poses during tracking. In this paper, we propose improving 3D motion ...
Zhenbo Li, Patrick Horain, André-Marie Pez,...
MICCAI
2009
Springer
14 years 11 months ago
Modeling Respiratory Motion for Cancer Radiation Therapy Based on Patient-Specific 4DCT Data
Prediction of respiratory motion has the potential to substantially improve cancer radiation therapy. A nonlinear finite element (FE) model of respiratory motion during full breath...
Jaesung Eom, Chengyu Shi, Xie George Xu, Suvran...
CVPR
2007
IEEE
15 years 8 days 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
DAGM
2011
Springer
12 years 10 months ago
Visual Motion Capturing for Kinematic Model Estimation of a Humanoid Robot
Controlling a tendon-driven robot like the humanoid Ecce is a difficult task, even more so when its kinematics and its pose are not known precisely. In this paper, we present a vis...
Andre Gaschler
SIGGRAPH
2010
ACM
14 years 2 months ago
VideoMocap: modeling physically realistic human motion from monocular video sequences
This paper presents a video-based motion modeling technique for generating physically realistic human motion from monocular video sequences. We formulate the video-based motion mo...
Xiaolin Wei, Jinxiang Chai