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

Datensatz

DATENSATZ AKTIONENEXPORT

Freigegeben

Poster

Towards a Deeper Understanding of View-based 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

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

Schuhmacher, S., Schwaninger, A., Wallraven, C., & Bülthoff, H. (2003). Towards a Deeper Understanding of View-based Face Recognition. Poster presented at 6. Tübinger Wahrnehmungskonferenz (TWK 2003), Tübingen, Germany.


Zitierlink: http://hdl.handle.net/11858/00-001M-0000-0013-DD2A-2
Zusammenfassung
Humans are experts in processing faces, which are encountered in everyday life in many dierent poses and views. In the present study we investigated to what extend the processing of such highly overlearned stimuli is dependent on viewpoint. The experiments were modeled after the inter-extra-ortho experiments by Bultho Edelman, 1992, PNAS, 60-64, who used novel objects as stimuli (wire- and amoebae-like 3D objects). In Experiment 1, ten face-stimuli were presented in frontal view and 60 side view. At test they had to be recognized among ten distracter faces at dierent viewpoints. We found systematic eects of viewpoint (recognition performance: inter > extra > ortho), which were consistent with recognition schemes based on local view interpolation. These eects were replicated in Experiment 2, in which frontal and 45 side views were learned, although recognition performance was less viewpoint-dependent (inter = extra > ortho). This result is again consistent with recognition schemes based on local view interpolation. In Experiment 3, the learning condition entailed frontal views and 45 upward views. The motivation for this experiment comes from the fact that in everyday life, faces are encountered more often in dierent side views than in views from above and that faces are only vertically symmetric. Indeed, systematic dierences of viewpoint-dependent performance were found in Experiment 3 when compared to Experiment 1 and 2 (inter > ortho > extra). 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 (Wallraven et al., 2002, LNCS vol. 2525, 651-660).