使用 OpenCV 平移和旋转 3D 图像 [英] Translating and Rotating an Image in 3D using OpenCV

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本文介绍了使用 OpenCV 平移和旋转 3D 图像的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!

问题描述

给定一个 3 x 3 的旋转矩阵 R 和一个 3 x 1 的平移矩阵 T,我想知道如何将 T 和 R 矩阵与图像相乘?

Given a 3 x 3 rotation matrix,R, and a 3 x 1 translation matrix,T, I am wondering how to multiply the T and R matrices to an image?

假设 Iplimage img 为 640 x 480.

Lets say the Iplimage img is 640 x 480.

我想做的是R*(T*img).

我正在考虑使用 cvGemm,但没有成功.

I was thinking of using cvGemm, but that didn't work.

推荐答案

您正在搜索的函数可能是 warpPerspective() :这是一个用例...

The function you are searching for is probably warpPerspective() : this is a use case...

// Projection 2D -> 3D matrix
        Mat A1 = (Mat_<double>(4,3) <<
            1, 0, -w/2,
            0, 1, -h/2,
            0, 0,    0,
            0, 0,    1);

// Rotation matrices around the X axis
        Mat R = (Mat_<double>(4, 4) <<
            1,          0,           0, 0,
            0, cos(alpha), -sin(alpha), 0,
            0, sin(alpha),  cos(alpha), 0,
            0,          0,           0, 1);

// Translation matrix on the Z axis 
        Mat T = (Mat_<double>(4, 4) <<
            1, 0, 0, 0,
            0, 1, 0, 0,
            0, 0, 1, dist,
            0, 0, 0, 1);

// Camera Intrisecs matrix 3D -> 2D
        Mat A2 = (Mat_<double>(3,4) <<
            f, 0, w/2, 0,
            0, f, h/2, 0,
            0, 0,   1, 0);

Mat transfo = A2 * (T * (R * A1));

Mat source;
Mat destination;

warpPerspective(source, destination, transfo, source.size(), INTER_CUBIC | WARP_INVERSE_MAP);

希望对你有帮助

朱利安

PS:我给出的示例是从 2D 到 3D 的投影,但您可以直接使用 transfo = T* R;

PS : I gave the example with a projection from 2D to 3D but you can use directly transfo = T* R;

这篇关于使用 OpenCV 平移和旋转 3D 图像的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持IT屋!

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