Title page for etd-0319117-181337


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URN etd-0319117-181337
Author Yuan-Chen Cheng
Author's Email Address No Public.
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Department Electrical Engineering
Year 2016
Semester 2
Degree Master
Type of Document
Language English
Title Efficient 3D Reconstruction System for Large-scale Scene
Date of Defense 2017-06-29
Page Count 62
Keyword
  • color mapping
  • keyframe selection
  • camera pose estimation
  • 3D reconstruction
  • depth cameras
  • Abstract In this thesis, an efficient 3D reconstruction system is proposed to solve the problem of the huge computation of 3D reconstruction for large-scale scene. The system is developed by organizing the state-of-the-art algorithm, the main steps include camera pose estimation, modeling and simplification, and color mapping. Furthermore, a pose-based keyframe selection method is also proposed. It is applied to the stages of modeling and color mapping, which filters out the redundant data and leads to low computation. The results show that the proposed system only cost a few minutes for large-scale scene reconstruction with losing slight quality of 3D model. It is expected that the proposed system with high efficiency become more applied in the near future.
    Advisory Committee
  • Kuo-Chin Fan - chair
  • Keng-Hao Liu - co-chair
  • Chih-Hung Kuo - co-chair
  • Wen-Huang Cheng - co-chair
  • Chia-Hung Yeh - advisor
  • Files
  • etd-0319117-181337.pdf
  • Indicate in-campus at 5 year and off-campus access at 5 year.
    Date of Submission 2017-08-10

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