Please use this identifier to cite or link to this item:
Appears in Collections:Psychology Journal Articles
Peer Review Status: Refereed
Title: A comparison of two computer-based face identification systems with human perceptions of faces
Authors: Hancock, Peter J B
Bruce, Vicki
Burton, A Mike
Keywords: PCA
face recognition
Issue Date: 1998
Publisher: Elsevier
Citation: Hancock PJB, Bruce V & Burton AM (1998) A comparison of two computer-based face identification systems with human perceptions of faces, Vision Research, 38 (15- 16), pp. 2277-2288.
Abstract: The performance of two different computer systems for representing faces was compared with human ratings of similarity and distinctiveness, and human memory performance, on a specific set of face images. The systems compared were a graphmatching system (e.g. Lades et al., 1993) and coding based on Principal Components Analysis (PCA) of image pixels (e.g. Turk & Pentland, 1991). Replicating other work, the PCA-based system produced very much better performance at recognising faces, and higher correlations with human performance with the same images, when the images were initially standardised using a morphing procedure and separate analysis of "shape" and "shape-free" components then combined. Both the graph-matching and (shape + shape-free) PCA systems were equally able to recognise faces shown with changed expressions, both provided reasonable correlations with human ratings and memory data, and there were also correlations between the facial similarities recorded by each of the computer models. However, comparisons with human similarity ratings of faces with and without the hair visible, and prediction of memory performance with and without alteration in face expressions, suggested that the graph-matching system was better at capturing aspects of the appearance of the face, while the PCA-based system seemed better at capturing aspects of the appearance of specific images of faces.
Type: Journal Article
DOI Link:
Rights: Published in Vision research. Copyright : Elsevier.
Affiliation: Psychology
University of Glasgow

Files in This Item:
File Description SizeFormat 
visres98.pdf359.73 kBAdobe PDFView/Open

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 providing details and we will remove the Work from public display in STORRE and investigate your claim.