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» Dense 3D Motion Capture for Human Faces
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ICPR
2002
IEEE
13 years 10 months ago
3D Tracking of Human Locomotion: A Tracking as Recognition Approach
Estimating mode (walking/running/standing) and phases of human locomotion is important for video understanding. We present a new ”tracking as recognition” approach. A hierarch...
Tao Zhao, Ramakant Nevatia
MMM
2007
Springer
107views Multimedia» more  MMM 2007»
13 years 12 months ago
Hierarchical Indexing Structure for 3D Human Motions
Content-based retrieval of 3D human motion capture data has significant impact in different fields such as physical medicine, rehabilitation, and animation. This paper develops ...
Gaurav N. Pradhan, Chuanjun Li, Balakrishnan Prabh...
GW
2009
Springer
226views Biometrics» more  GW 2009»
13 years 3 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,...
ICIP
2008
IEEE
14 years 7 months ago
Learning structurally discriminant features in 3D faces
In this paper, we derive a data mining framework to analyze 3D features on human faces. The framework leverages kernel density estimators, genetic algorithm and an information com...
Sreenivas R. Sukumar, Hamparsum Bozdogan, David L....
ICIAR
2010
Springer
13 years 10 months ago
Generic Initialization for Motion Capture from 3D Shape
Abstract. Real time and markerless motion capture is an active research area, due to applications in human-computer interactions, for example. A large part of the existing markerle...
Benjamin Raynal, Michel Couprie, Vincent Nozick