Face matching and change detection

Ahmed M. Megreya*, A. Mike Burton

*Corresponding author for this work

Research output: Contribution to journalArticleResearchpeer-review

1 Citation (Scopus)


Although we have an excellent ability to recognise familiar faces, even when presented in low-quality pictures, people are really poor at matching unfamiliar faces, even when presented in high-quality images, Here, we attempt to predict unfamiliar face matching performance by a face change detection task. Detecting changes in the eyes, regardless of whether they were featural or configurational, was the best predictor, provided that tragets were presented in a full-face frontal view, but not in a profile pose. More importantly, we found strong positive associations between featural and configurational processing, suggesting that similar processes are in use, We conclude that configurational information cannot be processed without encoding featural information in the first place.

Original languageEnglish
Pages (from-to)103+133-138
JournalJournal of the Social Sciences
Issue number3
Publication statusPublished - 2007
Externally publishedYes


Dive into the research topics of 'Face matching and change detection'. Together they form a unique fingerprint.

Cite this