Algorithms and Software Increasing the Efficiency of Processing Multidimensional Heterogeneous Data

被引：1
|
作者：
Zakharova, A. A. [1 ]
Nebaba, S. G. [2 ]
Zavyalov, D. A. [3 ]
机构：
[1] Bryansk State Tech Univ, Bryansk 241035, Russia
[2] Tomsk Polytech Univ, Tomsk 634050, Russia
[3] RAS, Keldysh Inst Appl Math, Moscow 125047, Russia
来源：
PROGRAMMING AND COMPUTER SOFTWARE | 2019年 / 45卷 / 04期
基金：
俄罗斯科学基金会;
关键词：
INTERPOLATION;
D O I：
10.1134/S0361768819040108
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
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.
引用
收藏
页码：196 / 201
页数：6
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