Someone already showed how to find a fitting plane from a set of points in 3D here 3D Least Squares Plane
I just wonder if there is an algorithm to progressively find the best fitting plane point after point? Let's say I have a best fitting plane for n-1 points, is there an easy way to calculate the new fitting plane considering the n-th point?
Thanks
n-1
points plane fit as a start point for the search ofn
point plane to significantly lower the iterations needed for the same accuracy ... You can use any method like approximation search minimizing your criteria error. Some forms of fits allows direct computation instead of approximation (like averaging all the normals ...) etc but all depends on what the "best fit" means. for you. – Spektre