Face Matching and Retrieval of Images?
Journal: International Journal of Computer Science and Mobile Computing - IJCSMC (Vol.4, No. 2)Publication Date: 2015-02-28
Authors : Akhila Prasad; Goldy Ann Sam; Raji S;
Page : 43-48
Keywords : Content-based face image retrieval; Database; Face signatures; High-level human attributes; Secure Me;
Abstract
Now a days, users are interested in people with photos (e.g., family, friends, celebrities etc.). Assuming someone with bad intentions steals a database containing face signatures, would it be possible to reconstruct the corresponding face images, revealing who was in the database? Would these reconstructed images be good enough to allow them to gain access via a face recognition system? To deal with these issues we introduce an android based application named Secure Me which consists of authentication techniques that will protect user’s information. Existing methods for face image retrieval usually use low-level features to represent faces, but low-level features are lack of semantic meanings and face images usually have high intra-class variance (e.g., expression, posing), so the retrieval results are unsatisfactory. So, we move on to a new perspective on content-based face image retrieval by incorporating high-level human attributes into face image representation and index structure.
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Last modified: 2015-02-11 22:53:38