Accuracy analysis of 3D object reconstruction using mesh filtering

被引：0
|
作者：
Ruchay, Alexey [1 ,2 ]
Dorofeev, Konstantin [3 ]
Kalschikov, Vsevolod [3 ]
Kolpakov, Vladimir [1 ]
机构：
[1] RAS, Fed Res Ctr Biol Syst & Agrotechnol, Orenburg, Russia
[2] Chelyabinsk State Univ, Natl Res Univ, South Ural State Univ, Chelyabinsk, Russia
[3] Chelyabinsk State Univ, Dept Math, Chelyabinsk, Russia
来源：
2020 VI INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND NANOTECHNOLOGY (IEEE ITNT-2020) | 2020年
基金：
俄罗斯科学基金会;
关键词：
point cloud; filtering; 3D object reconstruction; accuracy; MULTIPLE KINECT SENSORS;
D O I：
10.1109/ITNT49337.2020.9253344
中图分类号：
TP7 [遥感技术];
学科分类号：
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要：
In this paper, we analyze the accuracy of 3D object reconstruction using mesh filtering applied to data from a RGB-D sensor. Various methods of mesh filtering are tested and compared with respect to the reconstruction accuracy using real data. In order to improve the accuracy of 3D object reconstruction, an efficient method of mesh filtering is designed. The presented results show an improvement in the accuracy of 3D object reconstruction using the proposed mesh filtering algorithm.
引用
收藏
页数：5
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