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Conference Paper

Face Recognition across Large Viewpoint Changes

MPS-Authors
http://pubman.mpdl.mpg.de/cone/persons/resource/persons84123

O'Toole,  AJ
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons83839

Bülthoff,  HH
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons84263

Troje,  NF
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons84280

Vetter,  T
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Citation

O'Toole, A., Bülthoff, H., Troje, N., & Vetter, T. (1995). Face Recognition across Large Viewpoint Changes. In International Workshop on Automatic Face- and Gesture Recognition (pp. 326-331). Zürich, Switzerland: University of Zurich Department of Computer Science Multimedia Laboratory.


Cite as: http://hdl.handle.net/11858/00-001M-0000-0013-EC8E-B
Abstract
We describe a computational model of face recog­ nition that makes use of the overlapping texture and shape information visible in different views of faces. The model operates on view dependent data from three­dimensional laser scans of human heads, which were registered onto a three­dimensional head model. We show that the overlapping visible regions of heads can support accurate recognition even with pose dif­ ferences of as much as 90 degrees (full face to profile view) between the learning and testing view.