Comparisons between human and computer recognition of faces

Vicki Bruce, Peter J.B. Hancock, A. Mike Burton

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

15 Citations (Scopus)
75 Downloads (Pure)

Abstract

The paper reviews the characteristics of human face recognition that should be reflected in any psychologically plausible computational model of face recognition. We then summarise recent results which compare aspects of human face perception and memory with the performance of two computer models which each claim some degree of biological plausibility. We show how the performance of each is correlated with human performance on the same images, but that each explains rather different aspects of human performance with these faces. We conclude with a discussion of the coding of image sequences by humans and computers.

Original languageEnglish
Title of host publicationProceedings - 3rd IEEE International Conference on Automatic Face and Gesture Recognition, FG 1998
PublisherIEEE Computer Society
Pages408-413
Number of pages6
ISBN (Print)0818683449, 9780818683442
DOIs
Publication statusPublished - 1998
Externally publishedYes
Event3rd IEEE International Conference on Automatic Face and Gesture Recognition, FG 1998 - Nara, Japan
Duration: 14 Apr 199816 Apr 1998

Publication series

NameProceedings - 3rd IEEE International Conference on Automatic Face and Gesture Recognition, FG 1998

Conference

Conference3rd IEEE International Conference on Automatic Face and Gesture Recognition, FG 1998
Country/TerritoryJapan
CityNara
Period14/04/9816/04/98

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