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Conclusiveness and heuristics in visual recognition

  • Representation, Processing, Analysis and Understanding of Images
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Abstract

In this paper the main ideas underlying a discrete geometric approach to visual recognition are summarized and the results obtained are described on a meaningful level. Some considerations on the role of heuristics and evidence-based methods in the recognition of visual images follow.

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Authors and Affiliations

  1. Department of Mechanics and Mathematics, Moscow State University, Moscow, 119991, Russia

    V. N. Kozlov

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  1. V. N. Kozlov
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Correspondence to V. N. Kozlov.

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Vadim Nikitovich Kozlov. Gratuated from Moscow State University in 1970. Received candidate degree in 1978 and doctoral degree in 1997. Until 1999 he was a professor at the Faculty of Mathematics and Mechanics, Moscow State University. Scientific interests: pattern recognition, computer vision, and mathematical modeling in biology.

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Kozlov, V.N. Conclusiveness and heuristics in visual recognition. Pattern Recognit. Image Anal. 24, 511–517 (2014). https://doi.org/10.1134/S1054661814040099

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  • DOI: https://doi.org/10.1134/S1054661814040099

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