Modeling the effect of motion at encoding and retrieval for same and other race face recognition

Hui Fang, Nicholas Costen, Natalie Butcher, Karen Lander

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We assess the role of motion when encoding and recognizing unfamiliar faces, using a recognition memory paradigm. This reveals a facilitative role for non-rigid motion when learning unfamiliar same and other-race faces, and indicate that it is more important that the face is learned, rather than recognized, in motion. A computational study of the faces using Appearance Models of facial variation, shows that this lack a motion effect at recognition was reproduced by a norm-based encoding of faces, with the selection of features based on distance from the norm.

Original languageEnglish
Title of host publicationCognitive Behavioural Systems - COST 2102 International Training School, Revised Selected Papers
Pages184-190
Number of pages7
DOIs
Publication statusPublished - 6 Dec 2012
EventInternational Training School on Cognitive Behavioural Systems, COST 2102 - Dresden, Germany
Duration: 21 Feb 201126 Feb 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7403 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceInternational Training School on Cognitive Behavioural Systems, COST 2102
CountryGermany
CityDresden
Period21/02/1126/02/11

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    Fang, H., Costen, N., Butcher, N., & Lander, K. (2012). Modeling the effect of motion at encoding and retrieval for same and other race face recognition. In Cognitive Behavioural Systems - COST 2102 International Training School, Revised Selected Papers (pp. 184-190). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7403 LNCS). https://doi.org/10.1007/978-3-642-34584-5_14