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Semantic Face Retreival System
We are trying to develop a probabilistic system that retrieves face images based on verbal descriptions given
by users.This interactive system prompts the user at each stage of query to provide a description about a facial feature that
will help it to retrieve the required face image. The system is a soft biometric one that groups people by the description of
their faces. The method proposed, automates the process of extracting general verbal descriptions of faces like 'long nosed' or
'blonde haired' and performs queries on them. The proposed method uses Bayesian learning for the query process and hence is
more immune to errors in both the extraction of semantic descriptions and user given information.
Publications:
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Karthik Sridharan, Sankalp Nayak, Sharat Chikkerur and Venu Govindaraju,"A Probabilistic Approach to Semantic Face Retrieval System", AVBPA 2005, NY, USA [pdf..]
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 Most biometrics are distinctive but not necessarily unique biometric data fusion allows one-to-one mapping between data and individuals.
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