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赵鹏程
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Personal Information
  • Supervisor of Master's Candidates
  • Name (Pinyin):Zhao Pengcheng
  • Date of Birth:1993-09-05
  • E-Mail:
  • Date of Employment:2019-12-07
  • Administrative Position:高级实验师
  • Education Level:With Certificate of Graduation for Doctorate Study
  • Business Address:武汉大学信息学部遥感信息工程学院（5号楼）315办公室
  • Gender:Male
  • Contact Information:+86 15972003670
  • Status:Employed
  • Alma Mater:武汉大学
  • Teacher College:School of Remote Sensing and Information Engineering
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Paper Publications
Current position: Home   >   Scientific Research   >   Paper Publications

A 3D urban scene reconstruction enhancement approach based on adaptive viewpoint selection of panoramic videos

  • Date of Publication:2025-01-07
  • Hits:

  • DOI number: 

    10.1111/phor.12467

  • Affiliation of Author(s): 

    School of Remote Sensing and Information Engineering, Wuhan University, China

  • Journal: 

    PHOTOGRAMMETRIC RECORD

  • Key Words: 

    adaptive viewpoint selection,ground panoramic video,multiview photogrammetry,3D model enhancement,3D reconstruction

  • Abstract: 

    The widely used unmanned aerial vehicle oblique photogrammetry often suffers from information loss in complex urban environments, leading to geometric and textural defects in the resulting models. In this study, a close-range panoramic optimal viewpoint selection assisted 3D urban scene reconstruction enhancement method is proposed for areas prone to defects. We first introduce the ground panoramic data acquisition equipment and strategy, which are different from those of the single-lens supplementary photography method. Data acquisition is accomplished through a single and continuous surround-style collection approach. The full coverage of the panoramic video in the space-time dimension enables the acquisition of texture details without considering camera station planning. Then, a panoramic multiview image generation approach is proposed. Adaptive viewpoint selection is achieved using unbiased sampling points from the rough scene model, and viewpoint optimisation is adopted to ensure sufficient image overlap and intersection effects, thus improving the scene reconstructability. Finally, the 3D model is generated by photogrammetric processing of the panoramic multiview images, resulting in an enhanced modelling effect. To validate the proposed method, we conducted experiments using real data from Qingdao, China. Both the qualitative and quantitative results demonstrate a significant improvement in the quality of geometric and textural reconstruction. The tie-point reprojection errors are less than 1 pixel, and the registration accuracy with the model from oblique photogrammetry is comparable to that of optimised-view photography. By eliminating the need for on-site camera station planning or manual flight operations and effectively minimising the redundancy of panoramic videos, our approach significantly reduces the photography and computation costs associated with reconstruction enhancement. Thus, it presents a feasible technical solution for the generation of urban 3D fine models.

  • Co-author: 

    Chen, Jiayuan, Pengcheng,Zhao, Qingwu, Zhenbiao, Zongqiang, Mingyao,Ai, Jun,Hu,Zhang, Xiaojie,Zhou,Li, Xujie

  • Indexed by: 

    Journal paper

  • Discipline: 

    Engineering

  • Document Type: 

    J

  • Volume: 

    39

  • Issue: 

    185

  • Page Number: 

    7-35

  • ISSN No.: 

    0031-868X

  • Translation or Not: 

    no

  • CN No.: 

    WOS:001137455700001,Scopus:2-s2.0-85181527937,EI:20240215341107

  • Date of Publication: 

    2024-03-01

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