From pixels to people: a model of familiar face recognition

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. https://doi.org/10.1016/S0364-0213%2899%2980050-0

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.

Keywords
IAC; computer model; face recognition; familiar faces; Face perception; Recognition (Psychology)

Journal
Cognitive Science: Volume 23, Issue 1

People

Professor Peter Hancock

Professor, Psychology