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Pose-Independent Face Identification from Video Sequences

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Audio- and Video-Based Biometric Person Authentication (AVBPA 2001)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2091))

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Abstract

A scheme for pose-independent face recognition is presented. An “unwrapped” texture map is constructed from a video sequence using a texture-from-motion approach, which is shown to be quite accurate. Recognition of single frames against calculated unwrapped textures is carried out using principal component analysis. The system is typically better than 90% correct in its identifications.

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© 2001 Springer-Verlag Berlin Heidelberg

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Lincoln, M.C., Clark, A.F. (2001). Pose-Independent Face Identification from Video Sequences. In: Bigun, J., Smeraldi, F. (eds) Audio- and Video-Based Biometric Person Authentication. AVBPA 2001. Lecture Notes in Computer Science, vol 2091. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45344-X_2

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  • DOI: https://doi.org/10.1007/3-540-45344-X_2

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42216-7

  • Online ISBN: 978-3-540-45344-4

  • eBook Packages: Springer Book Archive

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