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名师互学网 > IT > 软件开发 > 后端开发 > Python

opencv的几种畸变校正

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opencv的几种畸变校正

一、单目校正:

OpenCV provides us with a ready-to-use undistortion algorithm that takes a raw image and the distortion coefficients from cv::calibrateCamera() and produces a corrected image. We can access this algorithm either through the function cv::undistort(), which does everything we need in one shot, or through the pair of routines cv::initUndistortRectifyMap() and cv::remap(), which allow us to handle things a little more efficiently for video or other situations where we have many images from the same camera.

也就是,cv::undistort()是一次性的,而cv::initUndistortRectifyMap() and cv::remap()这两个,相当于两步走。

rather than rectifying an entire image, you have a set of points you have collected from an image, and you care only  about the location of those points. In this case, you can use cv::undistortPoints() to compute the “correct” locations for your specific list of points

也就是,cv::undistortPoints() 用来稀疏校正。

二、双目校正

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