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|Title:||Finding faces in photographs|
|Publisher:||NAROSA PUBLISHING HOUSE|
|Citation:||SIXTH INTERNATIONAL CONFERENCE ON COMPUTER VISION,640-645|
|Abstract:||Two new schemes are presented for Ending human faces in a photograph. The first scheme approximates the unknown distributions of the face and the face-like manifolds using higher order statistics (HOS). An HOS-based data clustering algorithm is also proposed, lit. 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.|
|Appears in Collections:||Proceedings papers|
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