Development of algorithms for face and character recognition based on wavelet transforms, PCA and neural networks

Development of algorithms for face and character recognition based on wavelet transforms, PCA and neural networks

Bibliografiske detaljer
Parent link:	Control and Communications (SIBCON): International Siberian Conference on Russia, Omsk, May 21-23, 2015. [6 p.].— , 2015
Institution som forfatter:	Национальный исследовательский Томский политехнический университет (ТПУ) Институт кибернетики (ИК) Кафедра вычислительной техники (ВТ)
Andre forfattere:	Bui T. T., Phan N. H., Spitsyn V. G. Vladimir Grigorievich, Bolotova Yu. A. Yuliya Aleksandrovna, Savitsky Yu. V.
Summary:	Title screen The possibility of the visualization of remote objects using active optical systems with a copper vapor brightness amplifier has been investigated. Theoretical and experimental dependences for the field of view of the active optical system on the distance between the object and the brightness amplifier (laser monitor, laser projection microscope) have been studied. The visualization results suggest that as the object is moved farther from the brightness amplifier the field of view decreases and the quality of the obtained images gets worse. The maximum distance between the object and the brightness amplifier which is determined based on the superradiance pulse duration does not coincide with the visualization results. The field of view decreases as the distance between the object and the brightness amplifier increases. The feasibility of using a bistatic system for distant objects visualization has been shown. Режим доступа: по договору с организацией-держателем ресурса
Udgivet:	2015
Fag:	электронный ресурс труды учёных ТПУ
Online adgang:	http://dx.doi.org/10.1109/SIBCON.2015.7147224
Format:	Electronisk Book Chapter
KOHA link:	https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=644218

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