DocumentCode
2956522
Title
Fast face detection using hash table of large set of templates
Author
Shaick, Ben-Zion ; Yaroslavsky, Leonid
Author_Institution
Fac. of Eng., Tel Aviv Univ., Israel
Volume
2
fYear
2003
fDate
18-20 Sept. 2003
Firstpage
674
Abstract
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.
Keywords
edge detection; face recognition; feature extraction; image matching; object detection; search problems; hash table; human face detection; image recognition; template search; Detection algorithms; Face detection; Feature extraction; Histograms; Humans; Image converters; Lighting; Pattern recognition; Search engines; Signal processing algorithms;
fLanguage
English
Publisher
ieee
Conference_Titel
Image and Signal Processing and Analysis, 2003. ISPA 2003. Proceedings of the 3rd International Symposium on
Print_ISBN
953-184-061-X
Type
conf
DOI
10.1109/ISPA.2003.1296361
Filename
1296361
Link To Document