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We present a nonstationary stochastic filtering framework for the task of albedo estimation from a single image. There are several approaches in the literature for albedo estimation, but few include the errors in estimates of surface normals and light source direction to improve the albedo estimate. The proposed approach effectively utilizes the error statistics of surface normals and illumination...
One of the main challenges in building an efficient and scalable automatic fingerprint identification system is to identify features which are highly discriminative and are reproducible across different prints of the same finger. Most existing fingerprint matching approaches rely on minutiae geometry. Relatively, little effort has gone into analyzing ridge flow patterns present in the fingerprint,...
Though a lot of research has been done to match fingerprints, most existing approaches rely on locations of minutiae features for matching tasks. Relatively, little effort has gone into utilizing textural information present in fingerprints as distinguishing characteristic. In this paper, we propose a novel gradient-based approach to characterize textural information in fingerprints for the task of...
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