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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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Current position: Home   >   Scientific Research   >   Paper Publications

A 3D Reconstruction Pipeline of Urban Drainage Pipes Based on MultiviewImage Matching Using Low-Cost Panoramic Video Cameras

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

    10.3390/w11102101
  • Affiliation of Author(s): 

    School of Remote Sensing and Information Engineering, Wuhan University, China
  • Journal: 

    WATER
  • Key Words: 

    panoramic videos,drainage pipes,3D reconstruction,pipe inspection,multiview image matching,SfM
  • Abstract: 

    Urban drainage pipe networks have complex spatial contributions, andthey are now facing problems such as damage, defects, and aging. A rapid and high-precision pipe inspection strategy is thekey to ensuring thesustainable development of urban water supply and drainage system. In this paper, a three-dimensional (3D) reconstruction pipeline of urban drainage pipes based on multiview image matching using low-cost panoramic video cameras is proposed, which provides an innovative technical approach for pipe inspection. Firstly, we extracted frames from the panoramic video of the pipes andcorrected the geometric distortion using a spherical reprojection to obtain multiview pipe images. Second, the robust feature matching method using support lines and affine-invariant ratios isintroduced to conduct pipe image matching. Finally, the photogrammetric processing, using structure from motion (SfM) and dense reconstruction, wasintroduced to achieve the 3D modeling of drainage pipes. Several typical drainage pipes and shafts of the real scenes were taken for the 3D reconstruction experiments. Theresults show that our strategy can realize high-precision 3D reconstruction of different types of pipes, which can provide effective technical support for rapid and efficient inspection of urban pipes with broad application prospects in the daily management of sustainable urban drainage systems (SUDSs).
  • Co-author: 

    Li,Ai, Hean,Wang, Qingwu,Hu, Pengcheng, Jiayuan, Mingyao,Zhao, Xujie,Zhang
  • Indexed by: 

    Journal paper
  • Discipline: 

    Engineering
  • Document Type: 

    J
  • Volume: 

    11
  • Issue: 

    10
  • Translation or Not: 

    no
  • CN No.: 

    WOS:000495598400145
  • Date of Publication: 

    2019-10-01