DocumentCode :
1967864
Title :
Recognizing faces in news photographs on the web
Author :
Zitouni, Hilal ; Bulut, Muhammed Fatih ; Duygulu, Pinar
Author_Institution :
Comput. Eng. Dept., Bilkent Univ., Ankara, Turkey
fYear :
2009
fDate :
14-16 Sept. 2009
Firstpage :
50
Lastpage :
55
Abstract :
We propose a graph based method in order to recognize the faces that appear on the web using a small training set. First, relevant pictures of the desired people are collected by querying the name in a text based search engine in order to construct the data set. Then, detected faces in these photographs are represented using SIFT features extracted from facial features. The similarities of faces are represented in a graph which is then used in random walk with restart algorithm to provide links between faces. Those links are used for recognition by using two different methods.
Keywords :
face recognition; feature extraction; information networks; face recognition; facial feature extraction; graph based method; photographs; text based search engine; Aging; Data mining; Face detection; Face recognition; Facial features; Feature extraction; Lighting; Search engines; Videos; Web pages; face; face detection; names; photographs; random walk;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer and Information Sciences, 2009. ISCIS 2009. 24th International Symposium on
Conference_Location :
Guzelyurt
Print_ISBN :
978-1-4244-5021-3
Electronic_ISBN :
978-1-4244-5023-7
Type :
conf
DOI :
10.1109/ISCIS.2009.5291920
Filename :
5291920
Link To Document :
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