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Proceedings Paper

Generalized distribution
Author(s): Masaru Tanaka
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Paper Abstract

The normal distribution or Gaussian distribution is one of the greatest tools in the computer vision and the other fields. For instance, it is used as the preprocessing tool for the subsequent operations in the computer vision, especially, in order to reduce the noises. In another case, it is used as the functional bases to approximate the given function which is defined as the set of the sampled points. This is called the radial bases function method (RBF). The RBF method is also used in the computational neuroscience, to explain the human mental rotation. From the information theoretic view, it gives the maximum value of the Boltzmann-Shannon entropy. In this paper, we give yet another such distribution, which is called q-normal distribution. We also give many useful formulae to use q-normal distribution in the various fields.

Paper Details

Date Published: 23 October 2000
PDF: 10 pages
Proc. SPIE 4117, Vision Geometry IX, (23 October 2000); doi: 10.1117/12.404827
Show Author Affiliations
Masaru Tanaka, Saitama Univ. (Japan)

Published in SPIE Proceedings Vol. 4117:
Vision Geometry IX
Longin Jan Latecki; David M. Mount; Angela Y. Wu, Editor(s)

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