I would like to construct a plane from a list of 3D points in OpenCV. I would like to obtain the result by finding the four parameters in the following form: Ax+By+Cz+
If the data does not contain outliers and does not contain more than one plane. Furthermore, all the points lay exactly on a plane (the data is not noisy), it is so simple:
x1+by1+cz1+d = 0 x2+by2+cz2+d = 0 x3+by3+cz3+d = 0
then :
A= Choose any number you want in order to match your scale. B= b*A C= c*A D= d*A
If the data is noisy or contains outliers or more than plane (or both) you need then some kind of Robust Estimation techniques. Search for RANSAC as a start.
if you are familar with RANSAC you can see this example here (it is about lines you can simply generlize it to deal with plane)