Please use this identifier to cite or link to this item: https://doi.org/10.1145/2389148.2389156
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dc.titleWho is here: Location aware face recognition
dc.contributor.authorWang, Z.
dc.contributor.authorYan, J.
dc.contributor.authorPang, C.
dc.contributor.authorChu, D.
dc.contributor.authorAghajan, H.
dc.date.accessioned2016-06-03T08:08:08Z
dc.date.available2016-06-03T08:08:08Z
dc.date.issued2012
dc.identifier.citationWang, Z.,Yan, J.,Pang, C.,Chu, D.,Aghajan, H. (2012). Who is here: Location aware face recognition. Proceedings of the 3rd International Workshop on Sensing Applications on Mobile Phones, PhoneSense 2012 - In Conjunction with ACM SenSys 2012. ScholarBank@NUS Repository. <a href="https://doi.org/10.1145/2389148.2389156" target="_blank">https://doi.org/10.1145/2389148.2389156</a>
dc.identifier.isbn9781450317788
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/125111
dc.description.abstractFace recognition has many challenges. For instance, the illumination, various facial expression and different viewpoints add difficulties to identify the same person from a bunch of images. Searching over a huge set of images will only amplify such difficulties. We introduce the location aware face recognition framework for mobile-taken photos to alleviate the hardness. With the help of location sensor on the mobile devices, we collect images with location information. We propose an algorithm to reduce the search space of face recognition and therefore achieve better accuracy. Photos are clustered by locations on the server. Each location is then associated with a face classifier. Every client can send a "Who is Here" type query to the server by uploading an image with the location. The algorithm on the server will search over the given location and identify the person on the image. Experiments are conducted on mobile devices. The results are quite promising that higher accuracy is achieved and the query can be answered in near real-time. Copyright © 2012 ACM.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1145/2389148.2389156
dc.sourceScopus
dc.typeConference Paper
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.description.doi10.1145/2389148.2389156
dc.description.sourcetitleProceedings of the 3rd International Workshop on Sensing Applications on Mobile Phones, PhoneSense 2012 - In Conjunction with ACM SenSys 2012
dc.identifier.isiutNOT_IN_WOS
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