|Appears in Collections:||Psychology Conference Papers and Proceedings|
|Author(s):||Hancock, Peter J B|
Burton, A Mike
|Title:||Testing principal component representations for faces|
|Citation:||Hancock PJB, Bruce V & Burton AM (1998) Testing principal component representations for faces In: Bullinaria JA, Glasspool DW, Houghton G (ed.) 4th Neural Computation and Psychology Workshop, London, 9–11 April 1997: Connectionist Representations, London: Springer. 4th Neural Computation and Psychology Workshop, 9.4.1997 - 11.4.1997, London, pp. 84-97.|
|Series/Report no.:||Perspectives in Neural Computing|
|Conference Name:||4th Neural Computation and Psychology Workshop|
|Abstract:||A variety of experimental results indicate that the human visual system processes faces at least to some extent holistically, rather than by analysing individual features such as nose and eyes. Principal Components Analysis (PCA) of face images, which is widely used in engineering approaches to face identification, produces an inherently global representation. We investigate the psychological plausibility of this representation, looking at correlations with human perceptions of memorability and similarity. We show that transformation of faces to an average shape prior to PCA improves correlations with human ratings|
|Status:||Book Chapter: author post-print (pre-copy editing)|
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