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机器视觉的像素校准
Machine Vision Pixel Calibration

DOI: 10.12677/AIRR.2014.32005, PP. 25-33

Keywords: 相机校准,内参,外参,畸变
Camera Calibration
, Intrinsic Parameter, Extrinsic Parameter, Distortion

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Abstract:

描述了一种机器视觉校准的方法。在基于小孔成像相机模型的基础上,使用平板拍取若干张照片进行校验。采用几何坐标变换,并且结合齐次图形学,考虑相机镜头畸变的情况下,计算出相机的内参和外参。此类方法可以广泛御用使用于机器视觉的相机的校准。
We describe a method for the machine vision calibration. Based on pinhole camera model, we calibrate several pictures taken by a tablet. With geometry coordinate system transformation and combination of homogeneous graphics, this method calculates the camera intrinsic and extrinsic parameters considering of lens distortion. This method could be used for machine vision camera calibration.

References

[1]  Sonka, M., Havac, V. and Boyle, R. (2011) Image Processing, Analysis, and Machine Vision. 4th Edition, Cengage Learning, New York.
[2]  Bradski, G. and Kaehler, A. (2008) Learning OpenCV: Computer Vision with the OpenCV Library. O’Reilly, Sebastopol.

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