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