DocumentCode :
3515364
Title :
Using context information and local feature points in face clustering for consumer photos
Author :
Chu, Wei-Ta ; Lee, Ya-Lin ; Yu, Jen-Yu
Author_Institution :
Dept. of CSIE, Nat. Chung Cheng Univ., Chiayi
fYear :
2009
fDate :
19-24 April 2009
Firstpage :
1141
Lastpage :
1144
Abstract :
We introduce local feature points to achieve face clustering for consumer photos. After combining eigenfaces with context information like clothes, we further investigate the usage of local feature points to match face images. The relationships between face images are constructed by feature matching and then described as a graph. Outliers in the results of preliminary clustering are detected and are re-clustered according to matching characteristics. We report complete performance comparison for different datasets and show that the proposed method has superior performance than conventional approaches.
Keywords :
image matching; pattern clustering; consumer photos; context information; face clustering; face image matching; local feature points; Bayesian methods; Computer errors; Data mining; Eyes; Face detection; Face recognition; Feature extraction; Graphical models; Humans; Image databases; Face clustering; context information; local feature points;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on
Conference_Location :
Taipei
ISSN :
1520-6149
Print_ISBN :
978-1-4244-2353-8
Electronic_ISBN :
1520-6149
Type :
conf
DOI :
10.1109/ICASSP.2009.4959790
Filename :
4959790
Link To Document :
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