• Title/Summary/Keyword: Biprism stereo

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Measurement of GMAW Bead Geometry Using Biprism Stereo Vision Sensor (바이프리즘 스테레오 시각 센서를 이용한 GMA 용접 비드의 3차원 형상 측정)

  • 이지혜;이두현;유중돈
    • Journal of Welding and Joining
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    • v.19 no.2
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    • pp.200-207
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    • 2001
  • Three-diemnsional bead profile was measured using the biprism stereo vision sensor in GMAW, which consists of an optical filter, biprism and CCD camera. Since single CCD camera is used, this system has various advantages over the conventional stereo vision system using two cameras such as finding the corresponding points along the horizontal scanline. In this wort, the biprism stereo vision sensor was designed for the GMAW, and the linear calibration method was proposed to determine the prism and camera parameters. Image processing techniques were employed to find the corresponding point along the pool boundary. The ism-intensity contour corresponding to the pool boundary was found in the pixel order and the filter-based matching algorithm was used to refine the corresponding points in the subpixel order. Predicted bead dimensions were in broad agreements with the measured results under the conditions of spray mode and humping bead.

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A Novel Image Sensing System for 3D Reconstruction (3차원 형상복원을 위한 새로운 시각장치)

  • 이두현;권인소
    • Journal of Institute of Control, Robotics and Systems
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    • v.6 no.5
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    • pp.383-389
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    • 2000
  • This paper presents a stereo camera system that provides a Pair of stereo images using a Biprism. The equivalent of a stereo Pair of images is formed as the left and right halves of a single CCD image. The system is therefore cheap and extremely easy to calibrate since it requires only one CCD camera. An additional advantage of the geometrical set-up is that corresponding features lie on the same scanline automatically, The single camera and Biprism have led to a simple stereo system for which correspondence is very easy and which is accurate for nearby objects in a small field of view. Since we use only a single lens, calibration of the system is greatly simplified. Given the parameters in the Biprism-stereo camera system, we can reconstruct the 3-D structure using only the disparity between the corresponding points.

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