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Proceedings Paper

Increasing the object recognition distance of compact open air on board vision system
Author(s): Sergey Kirillov; Ivan Kostkin; Valery Strotov; Vladimir Dmitriev; Vadim Berdnikov; Eduard Akopov; Aleksey Elyutin
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Paper Abstract

The aim of this work was developing an algorithm eliminating the atmospheric distortion and improves image quality. The proposed algorithm is entirely software without using additional hardware photographic equipment. . This algorithm does not required preliminary calibration. It can work equally effectively with the images obtained at a distances from 1 to 500 meters. An algorithm for the open air images improve designed for Raspberry Pi model B on-board vision systems is proposed. The results of experimental examination are given.

Paper Details

Date Published: 24 October 2016
PDF: 8 pages
Proc. SPIE 10007, High-Performance Computing in Geoscience and Remote Sensing VI, 1000704 (24 October 2016); doi: 10.1117/12.2241961
Show Author Affiliations
Sergey Kirillov, Ryazan State Radio Engineering Univ. (Russian Federation)
Ivan Kostkin, Ryazan State Radio Engineering Univ. (Russian Federation)
Valery Strotov, Ryazan State Radio Engineering Univ. (Russian Federation)
Vladimir Dmitriev, Ryazan State Radio Engineering Univ. (Russian Federation)
Vadim Berdnikov, Ryazan State Radio Engineering Univ. (Russian Federation)
Eduard Akopov, Ryazan State Radio Engineering Univ. (Russian Federation)
Aleksey Elyutin, Ryazan State Radio Engineering Univ. (Russian Federation)


Published in SPIE Proceedings Vol. 10007:
High-Performance Computing in Geoscience and Remote Sensing VI
Bormin Huang; Sebastián López; Zhensen Wu; Jose M. Nascimento; Jun Li; Valeriy V. Strotov, Editor(s)

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