de.mpg.escidoc.pubman.appbase.FacesBean
Deutsch
 
Hilfe Wegweiser Impressum Kontakt Einloggen
  DetailsucheBrowse

Datensatz

DATENSATZ AKTIONENEXPORT

Freigegeben

Poster

News on Views From Human and Computational Face Recognition

MPG-Autoren
http://pubman.mpdl.mpg.de/cone/persons/resource/persons84420

Schwaninger,  A
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons84298

Schumacher S, Wallraven,  C
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;

Externe Ressourcen
Es sind keine Externen Ressourcen verfügbar
Volltexte (frei zugänglich)
Es sind keine frei zugänglichen Volltexte verfügbar
Ergänzendes Material (frei zugänglich)
Es sind keine frei zugänglichen Ergänzenden Materialien verfügbar
Zitation

Schwaninger, A., Schumacher S, Wallraven, C., Bülthoff, H., & Mast, F. (2003). News on Views From Human and Computational Face Recognition. Poster presented at 44th Annual Meeting of The Psychonomic Society, Vancouver, Canada.


Zitierlink: http://hdl.handle.net/11858/00-001M-0000-0013-DAEF-D
Zusammenfassung
Although faces form a very homogenous stimulus class, adults are real experts in recognizing them. In the present study, we investigated to what extend the processing of such highly overlearned stimuli is dependent on viewpoint. Four experiments were conducted on the basis of the inter-extra-ortho experiments by Bülthoff and Edelman (1991), who used novel objects as stimuli (wire- and amoeba-like novel 3-D objects). First, in all experiments, systematic effects of viewpoint on face recognition performance were found that were consistent with computational approaches using interpolation of 2-D views. Second, sensitivity was better for horizontal vs. vertical views. Third, this effect was reduced in inverted faces, which indicates an important role of expertise in addition to effects of symmetry. The results are discussed within the framework of a new computational model based on key-frames, which entails local view interpolation and has been shown to be well suited to model human face recognition performance.