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

Bibliografske podrobnosti
Parent link:Programming and Computer Software
Vol. 45, iss. 4.— 2019.— [P. 196-201]
Glavni avtor: Zakharova A. A. Alena Alexandrovna
Korporativna značnica: Национальный исследовательский Томский политехнический университет Инженерная школа информационных технологий и робототехники
Drugi avtorji: Nebaba S. G. Stepan Gennadievich, Zavyalov D. A. Dmitrii Alekseevich
Izvleček: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
Jezik:angleščina
Izdano: 2019
Teme:
Online dostop:https://doi.org/10.1134/S0361768819040108
Format: Elektronski Book Chapter
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=662940

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