DocumentCode :
2688718
Title :
Finding faces in photographs
Author :
Rajagopalan, A.N. ; Kumar, K. Sunil ; Karlekar, Jayashree ; Manivasakan, R. ; Patil, M. Milind ; Desai, U.B. ; Poonacha, P.G. ; Chaudhuri, S.
Author_Institution :
Dept. of Electr. Eng., Indian Inst. of Technol., Mumbai, India
fYear :
1998
fDate :
4-7 Jan 1998
Firstpage :
640
Lastpage :
645
Abstract :
Two new schemes are presented for finding human faces in a photograph. The first scheme approximates the unknown distributions of the face and the face-like manifolds wing higher order statistics (HOS). An HOS-based data clustering algorithm is also proposed. In the second scheme, the face to non-face and non-face to face transitions are learnt using a hidden Markov model (HMM). The HMM parameters are estimated corresponding to a given photograph and the faces are located by examining the optimal state sequence of the HMM. Experimental results are presented on the performance of both the schemes
Keywords :
face recognition; hidden Markov models; data clustering algorithm; face-like manifolds; hidden Markov model; higher order statistics; human faces; optimal state sequence; photograph; Artificial neural networks; Clustering algorithms; Face; Hidden Markov models; Higher order statistics; Humans; Intelligent networks; Laboratories; Manifolds; Signal processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision, 1998. Sixth International Conference on
Conference_Location :
Bombay
Print_ISBN :
81-7319-221-9
Type :
conf
DOI :
10.1109/ICCV.1998.710785
Filename :
710785
Link To Document :
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