Chandra Shekhar

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We describe a framework for aligning images without needing to establish explicit feature correspondences. We assume that the geometry between the two images can be adequately described by an aane transformation and develop a framework that uses the statistical distribution of geometric properties of image contours to estimate the relevant transformation(More)
Reconfigurable computing is an emerging paradigm of research that offers cost-effective solutions for computationally intensive applications through hardware reuse. There is a growing need in this domain for techniques to exploit parallelism inherent in the target application and to schedule the parallelized application. This leads to the need for(More)
In this paper we present the results of a comparative study of linear and kernel-based methods for face recognition. The methods used for dimensionality reduction are Principal Component Analysis (PCA), Kernel Principal Component Analysis (KPCA), Linear Discriminant Analysis (LDA) and Kernel Discriminant Analysis (KDA). The methods used for classification(More)
MaTra is a fully automatic system for indicative English-Hindi Machine Translation (MT) of general-purpose texts. This paper discusses the strengths of the MaTra approach, especially focusing on the robust strategy for parsing and the intuitive intermediate representation used by the system. This approach allows convenient enhancement of the linguistic(More)
This paper describes the use of PLANETE, a real-time knowledge-based system for program supervision in the framework of an intelligent on-board guidance system (or co-pilot) for a motor vehicle in a realistic situation. The vehicle is equipped with several sensors, producing data, that can be processed by several programs. The role of PLANETE is to convert(More)