Face recognition from unconstrained images: Progress with prototypes

Rob Jenkins*, A. Mike Burton, David White

*Corresponding author for this work

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

15 Citations (Scopus)

Abstract

Artificial face recognition systems typically do not attempt to handle very variable images. By comparison, human perceivers can recognize familiar faces over much more varied conditions. We describe a prototype face representation based on simple image-averaging. We have argued that this forms a good candidate for understanding human face perception. Here we examine the stability of these representations by asking (i) how quickly they converge; and (ii) how resistant they are to contamination due to previous mis identifications. We conclude that face averages provide promising representations for use in artificial recognition.

Original languageEnglish
Title of host publicationProceedings of the 7th International Conference on Automatic Face and Gesture Recognition (FGR'06)
PublisherIEEE Computer Society
Pages25-30
Number of pages6
ISBN (Print)0769525032, 9780769525037
DOIs
Publication statusPublished - 2006
Externally publishedYes
EventFGR 2006: 7th International Conference on Automatic Face and Gesture Recognition - Southampton, United Kingdom
Duration: 10 Apr 200612 Apr 2006

Publication series

NameFGR 2006: Proceedings of the 7th International Conference on Automatic Face and Gesture Recognition
Volume2006

Conference

ConferenceFGR 2006: 7th International Conference on Automatic Face and Gesture Recognition
CountryUnited Kingdom
CitySouthampton
Period10/04/0612/04/06

Fingerprint Dive into the research topics of 'Face recognition from unconstrained images: Progress with prototypes'. Together they form a unique fingerprint.

Cite this