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Memorias de investigación
Communications at congresses:
Refined facial disparity maps for automatic creation of 3D avatars
Year:2012
Research Areas
  • Engineering,
  • Processing and signal analysis
Information
Abstract
We propose a new method to automatically refine a facial disparity map obtained with standard cameras and under conventional illumination conditions by using a smart combination of traditional computer vision and 3D graphics techniques. Our system inputs two stereo images acquired with standard (calibrated) cameras and uses dense disparity estimation strategies to obtain a coarse initial disparity map, and SIFT to detect and match several feature points in the subject's face. We then use these points as anchors to modify the disparity in the facial area by building a Delaunay triangulation of their convex hull and interpolating their disparity values inside each triangle. We thus obtain a refined disparity map providing a much more accurate representation of the the subject's facial features. This refined facial disparity map may be easily transformed, through the camera calibration parameters, into a depth map to be used, also automatically, to improve the facial mesh of a 3D avatar to match the subject's real human features.
International
Si
Congress
IS&T/SPIE Int. Conf. on 3D Image Processing (3DIP) and Applications
960
Place
San Francisco (CA), USA
Reviewers
Si
ISBN/ISSN
9780819489371
10.1117/12.908259
Start Date
24/01/2012
End Date
26/01/2012
From page
1
To page
8
Proc. SPIE vol. 8290
Participants
  • Autor: Rafael Pages Scasso (UPM)
  • Autor: Francisco Moran Burgos (UPM)
  • Autor: Luis Salgado Alvarez de Sotomayor (UPM)
  • Autor: Daniel Berjon Diez (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Tratamiento de Imágenes (GTI)
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