DocumentCode :
2267385
Title :
Spectral face clustering
Author :
Palit, Biswaroop ; Nigam, Rakesh ; Perlmutter, Keren ; Perlmutter, Sharon
Author_Institution :
AOL, Bangalore, India
fYear :
2009
fDate :
Sept. 27 2009-Oct. 4 2009
Firstpage :
186
Lastpage :
191
Abstract :
Recognizing and clustering similar faces are important for organizing digital photos. We present a novel clustering method based on spectral clustering to group faces in a photo album. The main contribution is the proposal of a distance metric that is robust to outlier features present in the facial images.
Keywords :
face recognition; pattern clustering; digital photos organization; distance metric; spectral face clustering; Clustering algorithms; Clustering methods; Conferences; Face recognition; Feedback; Organizing; Proposals; Robustness; Terminology; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision Workshops (ICCV Workshops), 2009 IEEE 12th International Conference on
Conference_Location :
Kyoto
Print_ISBN :
978-1-4244-4442-7
Electronic_ISBN :
978-1-4244-4441-0
Type :
conf
DOI :
10.1109/ICCVW.2009.5457700
Filename :
5457700
Link To Document :
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