loading...
 This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
Fourth International Conference on 3-D Digital Imaging and Modeling (3DIM '03)
Human Figure Reconstruction and Modeling from Single Image or Monocular Video Sequence
Banff, Alberta, Canada
October 06-October 10
ISBN: 0-7695-1991-1
Fabio Remondino, Swiss Federal Institute of Technology
Andreas Roditakis, Swiss Federal Institute of Technology
In this contribution we firstly review some approaches to recover the 3D shape of human figures and the related movements. Then we present an improved and reliable version of an easy approach to recover 3D model of humans using just one frame or a monocular video sequence. A simplification of the camera model based on the collinearity condition is required, due to the absence of stereo view. This leads to a perspective or orthographic projection and requires additional information or constraints to solve the problem. The human figure is reconstructed in a skeleton form and visualized with the portable VRML language. Moreover a surface fitting is performed using a pre-defined 3D model obtained from laser scanner measurements.
Citation:
Fabio Remondino, Andreas Roditakis, "Human Figure Reconstruction and Modeling from Single Image or Monocular Video Sequence," 3dim, pp.116, Fourth International Conference on 3-D Digital Imaging and Modeling (3DIM '03), 2003
Usage of this product signifies your acceptance of the Terms of Use.