de.mpg.escidoc.pubman.appbase.FacesBean
English
 
Help Guide Disclaimer Contact us Login
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Conference Paper

Recognizing faces from a new viewpoint

MPS-Authors
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;

Locator
There are no locators available
Fulltext (public)
There are no public fulltexts available
Supplementary Material (public)
There is no public supplementary material available
Citation

Vetter, T. (1997). Recognizing faces from a new viewpoint. In IEEE International Conference of Acoustics, Speech, and Signal Processing (ICASSP 1997) (pp. 143-146). Los Alamitos, CA, USA: IEEE Computer Society.


Cite as: http://hdl.handle.net/11858/00-001M-0000-0013-EA5C-5
Abstract
A new technique is described for recognizing faces from new viewpoints. From a single 2D image of a face synthetic images from new viewpoints are generated and compared to stored views. A novel 2D image of a face can be computed without knowledge about the 3D structure of the head. The technique draws on prior knowledge of faces based on example images of other faces seen in different poses and on a single generic 3D model of a human head. The example images are used to learn a pose-invariant shape and texture description of a new face. The 3D model is used to solve the correspondence problem between images showing faces in different poses. The performance of the technique is tested on a data set of 200 faces on known orientation for rotations up to 90°.