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

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2688718