使用图像点对整个图像进行仿射变换？ [英] Affine transformation for entire image using image points ?

问题描述

你好，



我有2套图像点（x，y）来自2张图片（ImgX，ImgY）



我想使用这些图像点并找到两个图像之间的仿射变换。



openCV的getAffineTransform（）函数给了我单个图像点的矩阵，而不是我可以应用于整个图像的最终矩阵。那么我如何获得可以应用于图像的最终仿射变换矩阵呢？



我尝试了什么：

 vector< vector< Point2f> > imagePoints;  //   imagePoints [0]和imagePoints [1]用xy值初始化 
 
 Mat视图;  //   ImgX也已加载 
 Mat viewGray = Mat :: zeros（view.rows， view.cols，view.type（））; 
 
  for （ int  j =  0 ; j< imagePoints [ 0 ]。size（）; j ++）
 {
 cv :: Mat affImg = getAffineTransform （& imagePoints [ 0 ] [j]，& imagePoints [ 1 ] [j]）; 
 cv :: warpAffine（view，viewGray，affImg，view.size（））; 
 showImage（ 仿射变换，viewGray）; 
 cv :: waitKey（ 0 ）; 
} 

所以，在上面的例子中，我是否需要在矩阵的向量中推送支持矩阵？ div class =h2_lin>解决方案

方法如下： http://docs.opencv.org/2.4/doc/tutorials/imgproc/imgtrans/warp_affine/warp_affine.html

hello,

I have 2 sets of image points (x,y) from 2 images (ImgX, ImgY)

I would like to use these image points and find the affine transformation between the two images.

The getAffineTransform() function of openCV gives me a matrix of individual image points rather than a final matrix which I can apply for the entire image. So how do i get a final affine transformation matrix that can be applied for the image?

What I have tried:

vector<vector < Point2f > > imagePoints; //imagePoints[0] and imagePoints[1] are initilaized with x y values 
 
 Mat view ;  //ImgX is also loaded
 Mat viewGray = Mat::zeros( view.rows, view.cols, view.type() );

for (int j =0; j< imagePoints[0].size(); j++)
    {
       cv::Mat affImg= getAffineTransform( & imagePoints[0][j], & imagePoints[1][j]);
       cv::warpAffine(view,viewGray,affImg, view.size());
       showImage("Affine transform", viewGray);
       cv::waitKey(0);
    }

so, in the above case, do i need to push_back the affImg matrix in a vector of Matrix?

解决方案

Here's how: http://docs.opencv.org/2.4/doc/tutorials/imgproc/imgtrans/warp_affine/warp_affine.html

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