Title: 3D object detection based on synthetic RGB image

Authors: Chao Xu; Zeshen Li; Du Jiang; Juntong Yun; Ying Liu; Yibo Liu; Dongxu Bai; Sun Ying

Addresses: Key Laboratory of Metallurgical Equipment and Control Technology, Ministry of Education, Wuhan University of Science and Technology, Wuhan 430081, Hubei, China; Hubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering, Ministry of Education, Wuhan University of Science and Technology, Wuhan 430081, Hubei, China ' Guangdong Xinhui Cimc Special Transportation Equipment Co., Ltd., Jiangmen 529144, Guangdong, China ' Key Laboratory of Metallurgical Equipment and Control Technology, Ministry of Education, Wuhan University of Science and Technology, Wuhan 430081, Hubei, China; Hubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering, Ministry of Education, Wuhan University of Science and Technology, Wuhan 430081, Hubei, China ' Key Laboratory of Metallurgical Equipment and Control Technology, Ministry of Education, Wuhan University of Science and Technology, Wuhan 430081, Hubei, China; Hubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering, Ministry of Education, Wuhan University of Science and Technology, Wuhan 430081, Hubei, China ' Key Laboratory of Metallurgical Equipment and Control Technology, Ministry of Education, Wuhan University of Science and Technology, Wuhan 430081, Hubei, China; Hubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering, Ministry of Education, Wuhan University of Science and Technology, Wuhan 430081, Hubei, China ' Key Laboratory of Metallurgical Equipment and Control Technology, Ministry of Education, Wuhan University of Science and Technology, Wuhan 430081, Hubei, China; Hubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering, Ministry of Education, Wuhan University of Science and Technology, Wuhan 430081, Hubei, China ' Key Laboratory of Metallurgical Equipment and Control Technology, Ministry of Education, Wuhan University of Science and Technology, Wuhan 430081, Hubei, China; Hubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering, Ministry of Education, Wuhan University of Science and Technology, Wuhan 430081, Hubei, China ' Key Laboratory of Metallurgical Equipment and Control Technology, Ministry of Education, Wuhan University of Science and Technology, Wuhan 430081, Hubei, China; Hubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering, Ministry of Education, Wuhan University of Science and Technology, Wuhan 430081, Hubei, China

Abstract: With the rapid development of computer vision technology and the maturity of 2D object detection technology, 3D object detection has attracted more and more attention of scholars. As an extension of 2D object detection, 3D object detection can not only detect the object category and position in the image, but also output the spatial position and pose angle of the object in a certain 3D coordinate system. It has a considerable application prospects in automatic driving, robot operation and augmented reality. However, 3D object detection is much more difficult than 2D object detection, and it is very difficult to make and label the data set, which has high hardware requirements. At present, there is no dominant algorithm, and scholars use a variety of methods. In order to solve the above problems, this paper proposes a method of making and synthesising 3D object detection data sets. Based on the improved 2D object detection algorithm, 3D object detection of single RGB image is realised.

Keywords: 3D object detection; RGB image; synthetic data set.

DOI: 10.1504/IJWMC.2021.113225

International Journal of Wireless and Mobile Computing, 2021 Vol.20 No.1, pp.70 - 76

Received: 08 Sep 2020
Accepted: 05 Oct 2020

Published online: 15 Feb 2021 *

Full-text access for editors Access for subscribers Purchase this article Comment on this article