• Chinese Journal of Lasers
  • Vol. 47, Issue 12, 1204005 (2020)
Junlong Wu1、2、3, Zhenghua Guo1、2、3, Xianfeng Chen1、2、3, Shuai Ma1、2、3, Xu Yan1、2、3, Licheng Zhu1、2、3, Shuai Wang1、3, and Ping Yang1、3、*
Author Affiliations
  • 1Key Laboratory on Adaptive Optics, Chinese Academy of Sciences, Chengdu, Sichuan 610209, China
  • 2Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu, Sichuan 610209, China
  • 3University of Chinese Academy of Sciences, Beijing 100049, China
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    Abstract

    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 1s, which is 1 to 2 orders of magnitude lower than the traditional methods based on cost optimization.

    1 引言

    传统的视觉三维测量方案主要指立体视觉技术,这类技术首先通过多相机捕获场景的多视角信息,然后基于立体匹配算法估计出场景的视差[1-4]。在标定相机参数之后,立体视觉技术能方便地实现视差与深度值之间的转换。与之相比,光场三维测量采用光场相机对场景进行成像。

    Copy Citation Text
    Wu Junlong, Guo Zhenghua, Chen Xianfeng, Ma Shuai, Yan Xu, Zhu Licheng, Wang Shuai, Yang Ping. Three-Dimensional Measurement Method of Light Field Imaging Based on Deep Learning[J]. Chinese Journal of Lasers, 2020, 47(12): 1204005
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    Category: Measurement and metrology
    Received: Jun. 9, 2020
    Accepted: --
    Published Online: Nov. 18, 2020
    The Author Email: Ping Yang (pingyang2516@163.com)