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Stimulus-specific effects in face recognition over changes in viewpoint

A J O'Toole1, S Edelman, H H Bülthoff

  • 1School of Human Development GR4.1, University of Texas at Dallas, Richardson 75083-0688, USA. otoole@utdallas.edu

Vision Research
|November 3, 1998
PubMed
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Face typicality aids alignment but hinders recognition, with distinct performance profiles aiding viewpoint generalization. These findings reveal separable aspects of individual face recognition across changing viewpoints.

Area of Science:

  • Cognitive Science
  • Computer Vision
  • Psychology

Background:

  • Individual faces possess variable information for recognition and viewpoint generalization.
  • Understanding factors influencing face recognition across different viewing angles is crucial.

Purpose of the Study:

  • To assess face typicality, recognizability, and viewpoint generalizability using human observers and a computational model.
  • To investigate how face typicality affects alignment and recognition stages in a computational model.
  • To identify consistent performance dimensions across viewpoints for individual faces.

Main Methods:

  • A two-stage computational model with viewpoint alignment and recognition-by-interpolation was employed.
  • Human observers and the computational model evaluated face measures across viewpoints.

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  • Factor analysis was used on covariance data to identify consistent performance axes.

    • Main Results:

    • Face typicality benefits alignment but impairs recognition in the computational model.
    • Two consistent performance axes were identified across all viewpoints via factor analysis.
    • Projection scores on these axes correlated more highly across viewpoints than raw recognizability scores.

    Conclusions:

    • Face typicality has dissociable effects on alignment and recognition processes.
    • Distinct and separable aspects of face recognizability across viewpoint changes are suggested by model measures.
    • The study provides insights into the computational mechanisms underlying human face perception and recognition.