Journal of the Korean Society for Precision Engineering (한국정밀공학회지)

Korean Society for Precision Engineering (한국정밀공학회)
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Feature Detection using Measured 3D Data and Image Data

3차원 측정 데이터와 영상 데이터를 이용한 특징 형상 검출

  • Kim, Hansol (Department of Mechanical Engineering, Korea Univ.) ;
  • Jung, Keonhwa (Department of Mechanical Engineering, Korea Univ.) ;
  • Chang, Minho (Department of Mechanical Engineering, Korea Univ.) ;
  • Kim, Junho (School of Computer Science, Kookmin Univ.)
  • 김한솔 (고려대학교 기계공학부) ;
  • 정건화 (고려대학교 기계공학부) ;
  • 장민호 (고려대학교 기계공학부) ;
  • 김준호 (국민대학교 컴퓨터공학부)
  • Received : 2012.12.14
  • Accepted : 2013.05.17
  • Published : 2013.06.01
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Abstract

3D scanning is a technique to measure the 3D shape information of the object. Shape information obtained by 3D scanning is expressed either as point cloud or as polygon mesh type data that can be widely used in various areas such as reverse engineering and quality inspection. 3D scanning should be performed as accurate as possible since the scanned data is highly required to detect the features on an object in order to scan the shape of the object more precisely. In this study, we propose the method on finding the location of feature more accurately, based on the extended Biplane SNAKE with global optimization. In each iteration, we project the feature lines obtained by the extended Biplane SNAKE into each image plane and move the feature lines to the features on each image. We have applied this approach to real models to verify the proposed optimization algorithm.

Keywords

References

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