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Algorithm for Three-Dimensional Reconstruction of Nonrigid Objects Using a Depth Camera
Journal of Communications Technology and Electronics ( IF 0.5 ) Pub Date : 2020-07-21 , DOI: 10.1134/s1064226920060248
M. Ruiz-Rodriguez , V. I. Kober , V. N. Karnaukhov , M. G. Mozerov

Abstract—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.



中文翻译:

深度相机对非刚性物体进行三维重构的算法

摘要—提出了一种使用RGB-D深度相机对非刚性物体进行3D重建的算法。该算法可用于医学,农业,机器人技术,虚拟现实以及人机交互。所提出的算法使得可以使用一个深度相机精确地重建3D对象,而不会限制相机的移动,也无需使用有关对象形状的先验信息。重建过程包括以下步骤:使用RGB-D摄像机输入信息,使用改进的迭代最近点算法进行注册以及动态构建对象的密集3D模型。使用实验数据评估了该算法的效率,并与现代的注册方法进行了比较。

更新日期:2020-07-21
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