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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2011.1
- 수록면
- 97 - 102 (6page)
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초록· 키워드
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Lots of 2D vision algorithms have been applied for inspection. However, these 2D vision algorithms have limitation in inspection applications which require 3D information data such as the height of semiconductor chips. Stereo vision is a well known method to measure the distance from the camera to the object to be measured. But it is difficult to apply for inspection directly because of its measurement error. In this paper, we propose two adjustment methods to reduce the error of the measured height data for stereo vision. The weight value based model is used to minimize the mean squared error. The average value based model is used with simple concept to reduce the measured error. The effect of these algorithms has been proved through the experiments which measure the height of semiconductor chips.
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참고문헌 (12)
참고문헌 신청
G. Sansoni / 2009 / State of The Art and Application of 3D Imaging Sensors in Industry, Cultural Heritage, Medicine, and Criminal Investigation / Sensors 9:568~601
H.-N Yen / 2004 / Tsai: "A fast full-field 3D measurement system for BGA coplanarity inspection / Int J Adv Manuf Technol 24:132~139
T. Watanabe / 2007 / 3D Precise Inspection of Electronic Devices by Single Stereo Vision / MVA2007 IAPR Conference on Machine Vision Application :16~18
Z. Zhang / 2000 / A Flexible New Technique for Camera Calibration / IEEE Transactions on Pattern Analysis and Machine Intelligence 22(11):1330~1334
R. Hartley / 1999 / Theory and Practice of Projective Rectification / International Journal of Computer Vision 35(12):115-~127
H.-N Yen / 2004 / Tsai: "A fast full-field 3D measurement system for BGA coplanarity inspection / Int J Adv Manuf Technol 24:132~139
T. Watanabe / 2007 / 3D Precise Inspection of Electronic Devices by Single Stereo Vision / MVA2007 IAPR Conference on Machine Vision Application :16~18
Z. Zhang / 2000 / A Flexible New Technique for Camera Calibration / IEEE Transactions on Pattern Analysis and Machine Intelligence 22(11):1330~1334
R. Hartley / 1999 / Theory and Practice of Projective Rectification / International Journal of Computer Vision 35(12):115-~127
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