基于双目视觉技术的距离测量与摄像机标定

Zelin Meng, Xiangbo Kong, Lin Meng, Hiroyuki Tomiyama
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引用次数: 11

摘要

距离测量技术的发展将永远为行业和社会做出贡献。因此,基于双目视觉的距离测量技术已成为研究的热点。这种距离测量技术具有较高的测量精度和较低的硬件成本。然而,由于采用廉价的双目相机,存在切向和径向畸变。因此,畸变又会带来测量误差。也就是说,系统的测量精度会下降。本文提出了一种双目摄像机的立体标定方法。采用摄像机标定方法,获得摄像机的内、外参数和畸变参数。通过立体标定实现左右图像平面的关联。校正方法是使左右像面满足极面约束。因为校正后可以减少匹配左右图像对应特征点的计算量,提高系统的响应速度。平均重投影误差可控制在9个像素以内。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Distance Measurement and Camera Calibration based on Binocular Vision Technology
Development of distance measure technology will always make contributions to the industry and society. Therefore, distance measure based on binocular vision technology has become a hot research topic. This kind of distance measure technology has relative high measure accuracy as well as lower hardware cost. However, due to the adoption of inexpensive binocular cameras, the tangential and radial distortions exist. Thus, the distortion will in turn bring measure error. In other words, measure accuracy of system will decline. This paper, we propose a stereo calibration method for binocular cameras. Camera calibration method is employed to obtain the intrinsic and extrinsic as well as distortion parameters of cameras. Stereo calibration is conducted to correlate the left and right image plane. Rectification method is to make left and right image plane satisfy epipolar constraint. Because after rectification, we can reduce computation of matching correspond feature points in left and right image as well as improve system response speed. The average reprojection error can be controlled within 9 pixels.
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