立体校准差的投影误差

时间:2021-04-08 12:16:48

标签: python opencv camera-calibration stereoscopy

我执行了 OpenCV 的立体校准功能来计算两个相机之间的旋转矩阵和平移向量。然后,我打印出 RMS 误差。但是当我在另一个系统中使用相同的参数执行代码时,我得到两个不同的错误值。 我在问有两个不同的错误值的原因。

Root mean square error

for i, fname in enumerate(imagesL):
        Lframe = cv.imread(imagesL[i])
        Rframe = cv.imread(imagesR[i])
        Limg = cv.cvtColor(Lframe, cv.COLOR_BGR2GRAY)
        Rimg = cv.cvtColor(Rframe, cv.COLOR_BGR2GRAY)
        Lframe = cv.undistort(Limg, LcameraMatrix, LdistCoeffs, None, LnewCameraMatrix)
        Rframe = cv.undistort(Rimg, RcameraMatrix, RdistCoeffs, None, RnewCameraMatrix)
        #cv.imwrite("undistorted/L{}".format(imagesR[i][15:]),Rframe)
        #cv.imwrite("undistorted/{}.png".format(i),Lframe)
        #ImageView.frame = Rframe
        #ImageView.frame = Lframe
        retL, Lcorners = getImagePoints(Lframe,boardWidth, boardHeight)
        retR, Rcorners = getImagePoints(Rframe, boardWidth, boardHeight)
        if retL and retR:
            objectPoints.append(objp)
            LimagePoints.append(Lcorners)
            RimagePoints.append(Rcorners)

        #STEREO CALIBRATE
    print("calculating stereo paramaeters")
    rms, K1, D1, K2, D2, R,T, E, F = cv.stereoCalibrate(objectPoints, LimagePoints, RimagePoints, LcameraMatrix, LdistCoeffs, RcameraMatrix, RdistCoeffs, (Lframe.shape[0], Lframe.shape[1]), criteria=criteria, flags=flags)

    print("root mean square erro:\n")
    print("rmse = {}".format(rms))

0 个答案:

没有答案