Features Generation and Stochastic Geometry

Nikolay G. Fedotov; Luydmila A. Shul’ga; Alexander V. Moiseev

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Paper

Features Generation and Stochastic Geometry

In Proceedings of the 4th International Workshop on Pattern Recognition in Information Systems - Volume 0ICEIS, 169-175, 2004 , Porto, Portugal

Authors: Nikolay G. Fedotov ¹ ; Luydmila A. Shul’ga ¹ and Alexander V. Moiseev ²

Affiliations: ¹ Penza State University, Russian Federation ; ² All–Russian Distance institute of finance & economics, Russian Federation

Abstract: Application of stochastic geometry methods to pattern recognition is analyzed. The paper is based on Trace-transformations of original images introduced in [1] into images on the Mobius band. Trace–transformation is a new geometrical transformation, which is connected with image scanning on complex trajectories, including random parameters trajectories. Based on this new geometric transformation, a new approach to the construction of features independent of images' motion or their linear transformations is advanced. A prominent characteristic of the group of features under consideration is that we can represent each of them as a consecutive composition of three functionals.

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Paper citation in several formats:

G. Fedotov, N.; A. Shul’ga, L. and V. Moiseev, A. (2004). Features Generation and Stochastic Geometry. In Proceedings of the 4th International Workshop on Pattern Recognition in Information Systems (ICEIS 2004) - PRIS; ISBN 972-8865-01-5, SciTePress, pages 169-175. DOI: 10.5220/0002677201690175

@conference{pris04,
author={Nikolay {G. Fedotov}. and Luydmila {A. Shul’ga}. and Alexander {V. Moiseev}.},
title={Features Generation and Stochastic Geometry},
booktitle={Proceedings of the 4th International Workshop on Pattern Recognition in Information Systems (ICEIS 2004) - PRIS},
year={2004},
pages={169-175},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002677201690175},
isbn={972-8865-01-5},
}

TY - CONF

JO - Proceedings of the 4th International Workshop on Pattern Recognition in Information Systems (ICEIS 2004) - PRIS
TI - Features Generation and Stochastic Geometry
SN - 972-8865-01-5
AU - G. Fedotov, N.
AU - A. Shul’ga, L.
AU - V. Moiseev, A.
PY - 2004
SP - 169
EP - 175
DO - 10.5220/0002677201690175
PB - SciTePress