Title page for etd-0811108-153522


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URN etd-0811108-153522
Author Qiao-Yuan Liu
Author's Email Address No Public.
Statistics This thesis had been viewed 5570 times. Download 17 times.
Department Electro-Optical Engineering
Year 2007
Semester 2
Degree Master
Type of Document
Language zh-TW.Big5 Chinese
Title 3D SHAPE RECONSTRUCTION USING PROJECTED FRINGE PROFILOMETRY FOR AN IMAGE BLURRED BY LINEAR MOTION
Date of Defense 2008-07-16
Page Count 90
Keyword
  • 3D shape reconstruction
  • projected fringe profilometry
  • Abstract A projected fringe profilometry (PFP) is an optical measurements technology which is widely used at present in gauging the object's three dimensional appearance. PFP is frequently used in detecting the quality of products in the industry due to the specialty of non-contact type, the short retrieve time and low environmental effect. As a result of the development for many years, PFP treats in the gauging static state of the object's three dimensional appearance has had the extremely fine gauging efficiency and the precision in , however in the dynamic inspected object in the gauging , not yet was still mature. If could to develop a set of gauging way in the dynamic inspected object , the application would be more widespread.
      Taking PFP as the gauging principle, analyzing the changes between the dynamic treat measured object and the fringe. Using the simple mathematics to describe the interaction relations between the fringe and the inspected the object. Finally, reconstructed the inspected object' three dimensional appearance. May know biggest superiority by the experimental process, in the situation of without losing the information of fringe, PFP can reconstruct the inspected object' three dimensional appearance and do not need the motion condition information.
    Advisory Committee
  • Ann-Kuo Chu - chair
  • Yi-Jen Chiu - co-chair
  • Chao-Kuei Lee - advisor
  • Wei-Hung Su - advisor
  • Files
  • etd-0811108-153522.pdf
  • indicate in-campus access in a year and off_campus not accessible
    Date of Submission 2008-08-11

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