Evaluation of Multi-frame Fusion Based Face Classification Under Shadow

A video sequence of a head moving across a large pose angle contains much richer information than a single-view image, and hence has greater potential for identification purposes. This paper explores and evaluates the use of a multi-frame fusion method to improve face recognition in the presence of...

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Bibliographic Details
Published in2010 20th International Conference on Pattern Recognition pp. 1265 - 1268
Main Authors Canavan, S, Johnson, B, Reale, M, Yong Zhang, Lijun Yin, Sullins, J
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.08.2010
Subjects
Face
Face recognition
Finite impulse response filter
Lighting
multi-frame fusion
Probes
Three dimensional displays
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ISBN1424475422
9781424475421
ISSN1051-4651
DOI10.1109/ICPR.2010.315

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Summary:A video sequence of a head moving across a large pose angle contains much richer information than a single-view image, and hence has greater potential for identification purposes. This paper explores and evaluates the use of a multi-frame fusion method to improve face recognition in the presence of strong shadow. The dataset includes videos of 257 subjects who rotated their heads by 0° to 90°. Experiments were carried out using ten video frames per subject that were fused on the score level. The primary findings are: (i) A significant performance increase was observed, with the recognition rate being doubled from 40% using a single frame to 80% using ten frames; (ii) The performance of multi-frame fusion is strongly related to its inter-frame variation that measures its information diversity.
ISBN:1424475422
9781424475421
ISSN:1051-4651
DOI:10.1109/ICPR.2010.315