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» Controlling a marionette with human motion capture data
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SIBGRAPI
2007
IEEE
14 years 2 months ago
A Simple Framework for Natural Animation of Digitized Models
We present a versatile, fast and simple framework to generate animations of scanned human characters from input optical motion capture data. Our method is purely meshbased and req...
Edilson de Aguiar, Rhaleb Zayer, Christian Theobal...
CVGIP
2006
171views more  CVGIP 2006»
13 years 8 months ago
Breathe easy: Model and control of human respiration for computer animation
In this paper, we detail an anatomically inspired, physically based model of the human torso designed for the visual simulation of respiration using a mixed system of rigid and de...
Victor B. Zordan, Bhrigu Celly, Bill Yuan-chi Chiu...
PAMI
2008
182views more  PAMI 2008»
13 years 8 months ago
Gaussian Process Dynamical Models for Human Motion
We introduce Gaussian process dynamical models (GPDMs) for nonlinear time series analysis, with applications to learning models of human pose and motion from high-dimensional motio...
Jack M. Wang, David J. Fleet, Aaron Hertzmann
ICIRA
2009
Springer
200views Robotics» more  ICIRA 2009»
14 years 2 months ago
Classifying 3D Human Motions by Mixing Fuzzy Gaussian Inference with Genetic Programming
This paper combines the novel concept of Fuzzy Gaussian Inference(FGI) with Genetic Programming (GP) in order to accurately classify real natural 3d human Motion Capture data. FGI ...
Mehdi Khoury, Honghai Liu
IVC
2002
143views more  IVC 2002»
13 years 7 months ago
Towards the automatic analysis of complex human body motions
The classification of human body motion is an integral component for the automatic interpretation of video sequences. In a first part we present an effective approach that uses mi...
Jens Rittscher, Andrew Blake, Stephen J. Roberts