Face Recognition by Multi-Frame Fusion of Rotating Heads in Videos

This paper presents a face recognition study that implicitly utilizes the 3D information in 2D video sequences through multi-sample fusion. The approach is based on the hypothesis that continuous and coherent intensity variations in video frames caused by a rotating head can provide information simi...

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Bibliographic Details
Published in2007 1st IEEE International Conference on Biometrics: Theory, Applications and Systems pp. 1 - 6
Main Authors Canavan, S.J., Kozak, M.P., Yong Zhang, Sullins, J.R., Shreve, M.A., Goldgof, D.B.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2007
Subjects
Biomedical optical imaging
Computer science
Face recognition
Head
Image recognition
Image storage
Shape
Solid modeling
Video equipment
Video sequences
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ISBN1424415969
9781424415960
DOI10.1109/BTAS.2007.4401929

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Summary:This paper presents a face recognition study that implicitly utilizes the 3D information in 2D video sequences through multi-sample fusion. The approach is based on the hypothesis that continuous and coherent intensity variations in video frames caused by a rotating head can provide information similar to that of explicit shapes or range images. The fusion was done on the image level to prevent information loss. Experiments were carried out using a data set of over 100 subjects and promising results have been obtained: (1) under regular indoor lighting conditions, rank one recognition rate increased from 91% using a single frame to 100% using 7-frame fusion; (2) under strong shadow conditions, rank one recognition rate increased from 63% using a single frame to 85% using 7-frame fusion.
ISBN:1424415969
9781424415960
DOI:10.1109/BTAS.2007.4401929