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.
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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: Esposito, A., Esposito, A.M., Vinciarelli, A., Hoffmann, R., Müller, V.C. (eds) Cognitive Behavioural Systems. Lecture Notes in Computer Science, vol 7403. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34584-5_14
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DOI: https://doi.org/10.1007/978-3-642-34584-5_14
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-34583-8
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