English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Meeting Abstract

Component, configural and temporal routes to recognition

MPS-Authors
/persons/resource/persons83839

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

/persons/resource/persons84298

Wallraven,  C
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

/persons/resource/persons84420

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

Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)
There are no public fulltexts stored in PuRe
Supplementary Material (public)
There is no public supplementary material available
Citation

Bülthoff, H., Wallraven, C., & Schwaninger, A. (2004). Component, configural and temporal routes to recognition. International Journal of Psychology, 39(5-6): 3003.2, 224.


Cite as: https://hdl.handle.net/21.11116/0000-0003-62D1-2
Abstract
Two recent lines of psychophysical research have provided new insights on recognition processes in humans. The first is concerned with the view‐based processing of faces, which was found to rely on two distinct processing routes dealing with component and configural information. The second line of research investigated how we can build view‐based representations through temporal association of different views in dynamic scenes. Based on these psychophysical findings, we present a computational recognition framework and show that ‐ in addition to being able to model the psychophysical results ‐ we achieve excellent recognition performance with such a biologically motivated machine vision system.