• 제목/요약/키워드: multi-spectral photometric stereo

검색결과 2건 처리시간 0.014초

고온 금속 표면 결함에 대한 3차원 형상 추출 시스템 개발 (Development of a 3D Shape Reconstruction System for Defects on a Hot Steel Surface)

  • 장유진;이주섭
    • 제어로봇시스템학회논문지
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    • 제21권5호
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    • pp.459-464
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    • 2015
  • An on-line quality control of hot steel products is one of the important issues in the steel industry because of cost minimization. In recent years, relative depth information of surface defects is increasingly required for strict quality control. In this paper, a 3D shape reconstruction scheme for defects on a hot steel surface based on a multi-spectral photometric stereo method is proposed. After simultaneously illuminating a hot steel surface by using vertical/horizontal linearly polarized lights of green and blue light sources, the corresponding 4 images are obtained. The photometric stereo method is then applied with the aid of a GPU (Graphic Processing Unit) to reconstruct the shape of the target surface based on these images. The proposed scheme was validated through experiments.

금속 표면 미세 결함에 대한 신뢰성 있는 실시간 3차원 형상 추출 시스템 개발 (Development of a Reliable Real-time 3D Reconstruction System for Tiny Defects on Steel Surfaces)

  • 장유진;이주섭
    • 제어로봇시스템학회논문지
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    • 제19권12호
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    • pp.1061-1066
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    • 2013
  • In the steel industry, the detection of tiny defects including its 3D characteristics on steel surfaces is very important from the point of view of quality control. A multi-spectral photometric stereo method is an attractive scheme because the shape of the defect can be obtained based on the images which are acquired at the same time by using a multi-channel camera. Moreover, the calculation time required for this scheme can be greatly reduced for real-time application with the aid of a GPU (Graphic Processing Unit). Although a more reliable shape reconstruction of defects can be possible when the numbers of available images are increased, it is not an easy task to construct a camera system which has more than 3 channels in the visible light range. In this paper, a new 6-channel camera system, which can distinguish the vertical/horizontal linearly polarized lights of RGB light sources, was developed by adopting two 3-CCD cameras and two polarized lenses based on the fact that the polarized light is preserved on the steel surface. The photometric stereo scheme with 6 images was accelerated by using a GPU, and the performance of the proposed system was validated through experiments.