opencv 2-如何仅计算两个图像之间的平移和缩放? [英] opencv 2 - How can I calculate ONLY the translation and scale between two images?
问题描述
我正在寻找一种使用opencv仅计算两个图像之间的平移和缩放的方法.我只遇到了一个刚性变换实现,该实现将比例尺信息与旋转绑定在一起,而我对此并不感兴趣.
I'm looking for a way to calculate only the translation and scale between two images using opencv. I've only encountered a rigid transform implementation which bundles the scale information with the rotation, which I'm not interested in.
您如何建议我这样做?
注意,在下面的代码中,两个非常相等的角度不是,实际上是angle2 = 2 * angle.我不知道为什么:
Notice, in the following code the two surpassingly equal angles are not, actually angle2 = 2 * angle. which I'm not sure why:
cv::Mat rigid_mat = cv::estimateRigidTransform(prevMatGray, thisMatGray, false);
float tx = rigid_mat.at<float>(0,2);
float ty = rigid_mat.at<float>(1,2);
float a = rigid_mat.at<float>(0,0);
float b = rigid_mat.at<float>(0,1);
float c = rigid_mat.at<float>(1,0);
float d = rigid_mat.at<float>(1,1);
float sX = [BTImageProcessing sign:a] * sqrtf(powf(a,2) + powf(b,2));
float sY = [BTImageProcessing sign:d] * sqrt(powf(c,2) + powf(d,2));
float alpha = atan2f(c, d);
float alpha2 = atan2f(-b, a);
+ (int)sign:(float)num{
return num > 0 ? 1 : -1;
}
推荐答案
您可以使用此处(sx,sy,xc,yc),并且无需旋转.
You can use estimateRigidTransform()
to compute an optimal affine transformation [A|b]
(a 2x3 floating-point matrix) between two 2D point sets. Next, you should decompose the transformation matrix into scaling and translation, like here (sx, sy, xc, yc) and don't care with rotation.
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