Algorithm for Three-Dimensional Reconstruction of Nonrigid Objects Using a Depth Camera

被引：5
|
作者：
Ruiz-Rodriguez, M. [1 ]
Kober, V. I. [1 ,2 ,3 ]
Karnaukhov, V. N. [2 ]
Mozerov, M. G. [2 ]
机构：
[1] Ctr Sci Res & Higher Educ, Dept Comp Sci, Ensenada 22860, Baja California, Mexico
[2] Russian Acad Sci, Inst Informat Transmiss Problems, Moscow 127051, Russia
[3] Chelyabinsk State Univ, Chelyabinsk 454001, Russia
来源：
JOURNAL OF COMMUNICATIONS TECHNOLOGY AND ELECTRONICS | 2020年 / 65卷 / 06期
基金：
俄罗斯基础研究基金会;
关键词：
registration; 3D reconstruction; iterative closest point method; depth camera; nonrigid objects;
D O I：
10.1134/S1064226920060248
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
An algorithm for 3D reconstruction of objects with nonrigid shape using an RGB-D depth camera is proposed. The algorithm can be used in medicine, agriculture, robotics, virtual reality, and human-computer interaction. The proposed algorithm makes it possible to accurately reconstruct a 3D object with one depth camera without restricting camera movement and without using a priori information about an object shape. The reconstruction process consists of the following steps: input of information using an RGB-D camera, registration with a modified iterative closest point algorithm, and dynamic construction of a dense 3D model of objects. The efficiency of the proposed algorithm is evaluated using experimental data and is compared with the modern methods of registration. The results show that the proposed algorithm can accurately reconstruct 3D nonrigid objects on complex scenes with one depth camera.
引用
收藏
页码：698 / 705
页数：8
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