Three-Dimensional Measurement Method of Light Field Imaging Based on Deep Learning

被引：0
作者：
Wu J. [1 ,2 ,3 ]
Guo Z. [1 ,2 ,3 ]
Chen X. [1 ,2 ,3 ]
Ma S. [1 ,2 ,3 ]
Yan X. [1 ,2 ,3 ]
Zhu L. [1 ,2 ,3 ]
Wang S. [1 ,3 ]
Yang P. [1 ,3 ]
机构：
[1] Key Laboratory on Adaptive Optics, Chinese Academy of Sciences, Chengdu
[2] Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu
[3] University of Chinese Academy of Sciences, Beijing
来源：
Zhongguo Jiguang/Chinese Journal of Lasers | 2020年 / 47卷 / 12期
关键词：
Deep learning; Depth estimation; Light field imaging; Measurement; Three-dimensional measurement;
D O I：
10.3788/CJL202047.1204005
中图分类号：
学科分类号：
摘要：
To estimate the accurate disparity in weak texture region and fine structure region when the light field camera is used for three-dimensional measurement, a model of the light field depth estimation based on deep learning technology is proposed. Moreover, the relationship between the disparity and corresponding depth is also established. The proposed method is applied to a variety of complex scenes, and the experimental results show that the proposed method can accurately estimate the disparity information in the weak texture region and fine structure region, and leading to a good reconstruction of three-dimensional structure. The processing time of the proposed method is compressed to the order of 1 s, which is 1 to 2 orders of magnitude lower than the traditional methods based on cost optimization. © 2020, Chinese Lasers Press. All right reserved.
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