|Appears in Collections:||Psychology Journal Articles|
|Peer Review Status:||Refereed|
|Title:||From pixels to people: a model of familiar face recognition|
|Authors:||Burton, A Mike|
Hancock, Peter J B
|Citation:||Burton AM, Bruce V & Hancock PJB (1999) From pixels to people: a model of familiar face recognition, Cognitive Science, 23 (1), pp. 1-31.|
|Abstract:||Research in face recognition has largely been divided between those projects concerned with front-end image processing and those projects concerned with memory for familiar people. These perceptual and cognitive programmes of research have proceeded in parallel, with only limited mutual influence. In this paper we present a model of human face recognition which combines both a perceptual and a cognitive component. The perceptual front-end is based on principal components analysis of images, and the cognitive back-end is based on a simple interactive activation and competition architecture. We demonstrate that this model has a much wider predictive range than either perceptual or cognitive models alone, and we show that this type of combination is necessary in order to analyse some important effects in human face recognition. In sum, the model takes varying images of "known" faces and delivers information about these people.|
|Rights:||Published in Cognitive Science by Elsevier.|
|Affiliation:||University of Glasgow|
This item is protected by original copyright
Items in the Repository are protected by copyright, with all rights reserved, unless otherwise indicated.
If you believe that any material held in STORRE infringes copyright, please contact firstname.lastname@example.org providing details and we will remove the Work from public display in STORRE and investigate your claim.