Paritosh Mittal

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Sketch recognition has important law enforcement applications in detecting and apprehending suspects. Compared to hand drawn sketches, software generated composite sketches are faster to create and require lesser skill sets as well as bring consistency in sketch generation. While sketch generation is one side of the problem, recognizing composite sketches(More)
Networking infrastructure, such as routers and firewalls, consist of a policy (i.e., where to forward which packets) and a mechanism that implements it. As the correctness of the policy is critical, it is a natural candidate for formal verification. Indeed, several verification algorithms have been developed, that detect anomalies, conflicts, and(More)
Sketch recognition is one of the most challenging applications of face recognition. Due to the incorrectness of features in the witness description, standard face recognition algorithms are generally not applicable to matching sketches with digital face images. This research designs a patch based face recognition algorithm that generates patches around(More)
The performance of iris recognition reduces when the images are captured at a distance. However, such images generally contain periocular region which can be utilized for person recognition. In this research, we propose a novel context switching algorithm that dynamically selects the best descriptor for color iris and periocular regions. Using predefined(More)
Person recognition is a challenging research problem particularly if the images are captured at a distance and only ocular region is present. In this research, we present a framework that extracts multiple features from iris and periocular regions from near infrared images captured at a distance of 2 meters or more. Using these features and random decision(More)
For the first we frame collaborative filtering as a Blind Compressed Sensing (BCS) problem. Our formulation stems from the standard matrix factorization approach of decomposing the ratings matrix into a user latent factor matrix and an item latent factor matrix. Previous studies assumed both these matrices to be dense, i.e. both users and items had non-zero(More)
A Corresponding Points Detection or featureless Method for mosaicking of multiple images is described. Registration is achieved using control points and projective transformation, paying special attention to factors that contribute to precision registration of the images. Among the corresponding control points found in overlapping images, those that best(More)