Paper Info
Title
Evaluating Open-Universe Face Identification on the Web
Abstract
Face recognition is becoming a widely used technique to organize and tag photos. Whether searching, viewing, or organizing photos on the web or in personal photo albums, there is a growing demand to index real-world photos by the subjects in them. Even consumer platforms such as Google Picasa, Microsoft Photo Gallery, and social network sites such as Facebook have integrated forms of automated face tagging and recognition, furthermore, a number of libraries and cloud-based APIs that perform face recognition have become available. With such a plethora of choices, comparisons of recent advances become more important to gauge the state of progress in the field. This paper evaluates face identification in the context of not only research algorithms, but also considers consumer photo products, client-side libraries, and cloud-based APIs on a new, large-scale dataset derived from PubFig83 and LFW in a realistic open-universe scenario.
Year
DOI
Venue
2013
10.1109/CVPRW.2013.133
Computer Vision and Pattern Recognition Workshops
Keywords
Field
DocType
face recognition,consumer platform,consumer photo product,cloud-based apis,open-universe face identification,tag photo,index real-world photo,automated face tagging,face identification,google picasa,personal photo album,world wide web,cloud computing,open set,face,accuracy,sparse representation,support vector machines
Facial recognition system,Computer vision,World Wide Web,Social network,Computer science,Face Recognition Grand Challenge,Artificial intelligence,Cloud computing
Conference
Volume
Issue
ISSN
2013
1
2160-7508
Citations 
PageRank 
References 
19
0.74
12
Authors
2
Name
Order
Citations
PageRank
Brian C. Becker1190.74
Enrique G. Ortiz21806.15