Journal of Geodesy and Geoinformation Science ›› 2019, Vol. 2 ›› Issue (2): 70-78.doi: 10.11947/j.JGGS.2019.0208

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Microlens Light Field Imaging Method Based on Bionic Vision and 3-3 Dimensional Information Transforming

Shoujiang ZHAO1,Fan LIU3,Peng YANG1,Hongying ZHAO1,Anand ASUNDI2,Lei YAN1,Haimeng ZHAO1()   

  1. 1. The Institute of Remote Sensing and Geographic Information System, the School of Earth and Space Sciences, Peking University, Beijing Key Laboratory of Spatial Information Integration and 3S Engineering Application, Beijing 100871, China
    2. The School of Mechanical and Aerospace Engineering, Nanyang Technological University, 639798, Singapore
    3. The School of Information Engineering, Capital Normal University, Beijing 100048, China
  • Received:2013-03-21 Accepted:2019-04-02 Online:2019-06-20 Published:2020-03-20
  • Contact: Haimeng ZHAO E-mail:zhaohaimeng@163.com
  • About author:Shoujiang ZHAO(1996—), male, PhD candidate, the School of Earth and Space Sciences, Peking University, majors in photogrammetry and remote sensing.E-mail: 1601110606@pku.edu.cn
  • Supported by:
    The National Major Project Research and Development Project(2017YFB0503003);The National Natural Science Foundation of China(61101157);The National Natural Science Foundation of China(60602042)

Abstract:

This paper adopts the 3-3-2 information processing method for the capture of moving objects as its premise, and proposes a basic principle of three-dimensional (3D) imaging using biological compound eye. Traditional bionic vision is limited by the available hardware. Therefore, in this paper, the new-generation technology of microlens-array light-field camera is proposed as a potential method for the extraction of depth information from a single image. A significant characteristic of light-field imaging is that it records intensity and directional information from the lights entering the camera. Herein, a refocusing method using light-field image is proposed. By calculating the focusing cost at different depths from the object, the imaging plane of the object is determined, and a depth map is constructed based on the position of the object’s imaging plane. Compared with traditional light-field depth estimation, the depth map calculated by this method can significantly improve resolution and does not depend on the number of light-field microlenses. In addition, considering that software algorithms rely on hardware structure, this study develops an imaging hardware that is only 7cm long based on the second-generation microlens camera’s structure, further validating its important refocusing characteristics. It thereby provides a technical foundation for 3D imaging with a single camera.

Key words: bionic compound eye; single-shot; light field; 3D-3D transform imaging; microlenses; stereo photogrammetry