View-based recognition of faces in Man and Machine: Re-visiting inter-extra-ortho

Christian Wallraven, Adrian Schwaninger, Sandra Schuhmacher, Heinrich Bulthoff

Research output: Chapter in Book/Report/Conference proceedingConference contribution

31 Citations (Scopus)


For humans, faces are highly overlearned stimuli, which are encountered in everyday life in all kinds of poses and views. Using psychophysics we investigated the effects of viewpoint on human face recognition. The experimental paradigm is modeled after the inter-extra-ortho experiment using unfamiliar objects by Bülthoff and Edelman [5]. Our results show a strong viewpoint effect for face recognition, which replicates the earlier findings and provides important insights into the biological plausibility of view-based recognition approaches (alignment of a 3D model, linear combination of 2D views and view-interpolation). We then compared human recognition performance to a novel computational view-based approach [29] and discuss improvements of view-based algorithms using local part-based information.

Original languageEnglish
Title of host publicationBiologically Motivated Computer Vision - 2nd International Workshop, BMCV 2002, Proceedings
EditorsHeinrich H. Bulthoff, Christian Wallraven, Seong-Whan Lee, Tomaso A. Poggio
PublisherSpringer Verlag
Number of pages10
ISBN (Electronic)9783540001744
Publication statusPublished - 2002
Event2nd International Workshop on Biologically Motivated Computer Vision, BMCV 2002 - Tubingen, Germany
Duration: 2002 Nov 222002 Nov 24

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other2nd International Workshop on Biologically Motivated Computer Vision, BMCV 2002

Bibliographical note

Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 2002.

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


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