Brian Christopher Becker

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This paper evaluates face recognit real-world application of Facebook usually present results in terms constrained face datasets, it is difficult would work on natural data in a real We present a method to automatically face images from Facebook, resulting i representing over 500 users. From datasets, we evaluate a variety of recognition algorithms (PCA,(More)
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(More)
Keywords: Open-universe face recognition Large-scale classification Uncontrolled datasets Sparse representations a b s t r a c t With millions of users and billions of photos, web-scale face recognition is a challenging task that demands speed, accuracy, and scalability. Most current approaches do not address and do not scale well to Internet-sized(More)
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