Laser & Optoelectronics Progress, Volume. 60, Issue 12, 1210009(2023)

Panoramic Three-Dimensional Reconstruction Method Based on Multi-View Encoded Light Field

Zeyu Wang1,2, Sen Xiang1,2、*, Huiping Deng1,2, and Jin Wu1,2
Author Affiliations
  • 1School of Information Science and Engineering, Wuhan University of Science and Technology, Wuhan 430081, Hubei, China
  • 2Engineering Research Center for Metallurgical Automation and Measurement Technology of Ministry of Education, Wuhan University of Science and Technology, Wuhan 430081, Hubei, China
  • show less

    In a series of applications based on a light field, three-dimensional (3D) reconstruction of objects is a basic and key task. Ordinary light fields can only reconstruct a single perspective; however, they cannot reconstruct a panorama and generate accurate 3D information in areas with scarce texture features. To solve these problems, a panoramic 3D reconstruction method based on a multi-view coding light field is proposed. First, the structured light coding is used to project sine templates to the scene to generate pixel-level phase codewords to enrich the scene features. Then, the light field is collected independently from multiple angles. Furthermore, the depth value is obtained using spatial and angle information in the interior of each light field sampling viewpoint. Finally, 3D information fusion is realized between different light field sampling points under the pose guidance. The experimental results show that the proposed method can effectively restore the panorama information of the object. Moreover, the reconstruction of an area with insufficient texture features of the object is more accurate.

    Tools

    Get Citation

    Copy Citation Text

    Zeyu Wang, Sen Xiang, Huiping Deng, Jin Wu. Panoramic Three-Dimensional Reconstruction Method Based on Multi-View Encoded Light Field[J]. Laser & Optoelectronics Progress, 2023, 60(12): 1210009

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: Image Processing

    Received: Apr. 12, 2022

    Accepted: Jun. 14, 2022

    Published Online: Jun. 5, 2023

    The Author Email: Xiang Sen (xiangsen@wust.edu.cn)

    DOI:10.3788/LOP221282

    Topics