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Abstract: Computer vision has emerged as a challenging and important area of research, both as an engineering and a scientific discipline. The growing importance of computer vision is evident from the fact that it was identified as one of the "Grand Challenges" and also from its prominent role in the National Information Infrastructure. While the design of a general-purpose vision system continues to be elusive, machine vision systems are being used successfully in specific application domains. Building... (Update)
Context of citations to this paper: More
.... medical images in telemedicine, fingerprints in forensics, museum collections in art history, and registration of trademarks and logos) [1]. A typical database consists of hundreds of thousands of images, taking up gigabytes of memory space. While advances in image...
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BibTeX entry: (Update)
A. K. Jain and C. Dorai, "Practicing vision: Integration, evaluation and applications," Pattern Recognition, vol. 30, no. 2, pp. 183--196, 1997. http://citeseer.ist.psu.edu/jain97practicing.html More
@misc{ jain97practicing,
author = "A. Jain and C. Dorai",
title = "Practicing vision: Integration, evaluation and applications",
text = "A. K. Jain and C. Dorai, Practicing vision: Integration, evaluation and
applications, Pattern Recognition, vol. 30, no. 2, pp. 183--196, 1997.",
year = "1997",
url = "citeseer.ist.psu.edu/jain97practicing.html" }
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A Uniform Bayesian Framework for Integration - Pankanti, Jain (1995) (Correct)
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