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Fast face detection using hash table of large set of templates

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2 Author(s)
Shaick, B.-Z. ; Fac. of Eng., Tel Aviv Univ., Israel ; Yaroslavsky, L.

The problem of detecting human faces in complex images using large set of templates is investigated in this paper. For the recognition, templates are adaptively picked up for matching using a special hash table that allows to substantially speed-up the template search. Principles for implementing the hash table are outlined and experimental results of face detection are provided.

Published in:

Image and Signal Processing and Analysis, 2003. ISPA 2003. Proceedings of the 3rd International Symposium on  (Volume:2 )

Date of Conference:

18-20 Sept. 2003

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