Algorithms and Software Increasing the Efficiency of Processing Multidimensional Heterogeneous Data; Programming and Computer Software; Vol. 45, iss. 4

Algorithms and Software Increasing the Efficiency of Processing Multidimensional Heterogeneous Data; Programming and Computer Software; Vol. 45, iss. 4

Dades bibliogràfiques
Parent link:Programming and Computer Software
Vol. 45, iss. 4.— 2019.— [P. 196-201]
Autor principal: Zakharova A. A. Alena Alexandrovna
Autor corporatiu: Национальный исследовательский Томский политехнический университет Инженерная школа информационных технологий и робототехники Отделение информационных технологий
Altres autors: Nebaba S. G. Stepan Gennadievich, Zavyalov D. A. Dmitrii Alekseevich
Sumari:Title screen
An algorithm of methods selection for processing multidimensional heterogeneous data based on the general properties of the data used and the methods included in the review is proposed in this paper. The algorithm is implemented in the form of software and a group of interpolation algorithms is compared by the example of the problem of constructing a 3D human face model for a person’s recognition system. It is shown that the proposed algorithm for selecting data processing methods works successfully for a group of data interpolation methods.
Режим доступа: по договору с организацией-держателем ресурса
Idioma:anglès
Publicat: 2019
Matèries:
электронный ресурс
труды учёных ТПУ
Accés en línia:https://doi.org/10.1134/S0361768819040108
Format: Electrònic Capítol de llibre
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=662940

Internet

https://doi.org/10.1134/S0361768819040108

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