Face recognition has many challenges. For instance, the illumination, various facial expression and different viewpoints add dif\ufb01culties to identify the same person from a bunch of images. Searching over a huge set of images will only amplify such dif\ufb01culties. 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 classi\ufb01er. Every client can send a \u201cWho is Here\u201d 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.<\/p>\n","protected":false},"excerpt":{"rendered":"
Face recognition has many challenges. For instance, the illumination, various facial expression and different viewpoints add dif\ufb01culties to identify the same person from a bunch of images. Searching over a huge set of images will only amplify such dif\ufb01culties. We introduce the location aware face recognition framework for mobile-taken photos to alleviate the hardness. 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