A 3D reconstruction method of image sequence based on deep learning. (May 2020)

• Record Type: Journal Article
• Authors: Liu, Yun-peng; Yan, Xing-peng; Wang, Ning; Zhang, Xin; Li, Zhe
• Is Part Of: Journal of physics. Volume 1550:Number 3(2020)
• Publication Date: 2020-05
• Subjects: Physics -- Congresses; 530.5
• DOI: 10.1088/1742-6596/1550/3/032051
• Languages: English
• ISSNs: 1742-6588

Abstract

Abstract: Camera calibration, image feature detection, matching and other aspects have become barriers that traditional 3D reconstruction methods are difficult to break through. The important role of deep learning in data detection and classification has a deep impact on the real world, and has become a research hotspot at home and abroad to deal with this problem. In this paper, a 3D reconstruction method of image sequence based on depth learning is proposed. Firstly, the principle and method of 3D reconstruction are introduced. Then, the new method of 3D reconstruction based on image is studied and discussed in combination with deep learning theory. Finally, the conclusion and prospect are given.