Recognizing faces in news photographs on the web
Date
2009-09
Advisor
Instructor
Source Title
24th International Symposium on Computer and Information Sciences, ISCIS 2009
Print ISSN
Electronic ISSN
Publisher
IEEE
Volume
Issue
Pages
50 - 55
Language
English
Type
Conference Paper
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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. © 2009 IEEE.
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Keywords
Face, Face detection, Names, Photographs, Random walk, Data sets, Facial feature, Graph-based methods, Random walk with restart, SIFT Feature, Small training, Information science, Natural language processing systems, Search engines, World Wide Web, Photography