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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 Reconstruction and Visualization App Using Monocular Vision Service

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

  • Affiliation of Author(s): 

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

  • Journal: 

    2018 26TH INTERNATIONAL CONFERENCE ON GEOINFORMATICS (GEOINFORMATICS 2018)

  • Key Words: 

    3D reconstruction,mobile devices,monocular vision,camera calibration,feature matching

  • Abstract: 

    The 3D reconstruction technology has made great progress and it has been applied more and more widely in many industries. However, traditional 3D reconstruction has problems such as cumbersome calculation, poor flexibility, and high equipment costs. In this paper, a 3D reconstruction and visualization App using monocular vision service is implemented. The flow and method for 3D reconstruction, data transmission and message communication between the mobile terminal and server are presented. Then a mobile-based 3D reconstruction system is designed and implemented. The mobile terminal of the system is responsible for uploading the data required for 3D reconstruction. The server is responsible for the intensive calculations required for 3D reconstruction. The system has low cost, simple operation and strong real-time performance, and it meets expected functional requirements and performance requirements, can adapt to different mobile terminals, and has a wide range of application scenarios.

  • Co-author: 

    Ai Mingyao,Zhao Pengcheng,Hu Qingwu,Wang Shunli,Wang Shaohua

  • Indexed by: 

    会议论文

  • Discipline: 

    Engineering

  • Document Type: 

    C

  • ISSN No.: 

    2161-024X

  • Translation or Not: 

    no

  • CN No.: 

    WOS:000459847200062

  • Date of Publication: 

    2018-06-28

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