Given an image containing a mirror symmetrical object, such as a car or a butterfly, I want to find the symmetry axis:
Due to perspective distortions the two halves of a symmetrical object will never match exactly. The background and noise further complicate things.
But given the assumption that the image of the object is mostly mirror symmetric and takes up a large portion of the picture, it should be possible to find a best fit for the axis of symmetry.
How can I find this axis?
I tried flipping the input image, then executing SURF and FindHomography on the original and the flipped image, but the results are very poor, and not robust at all.
Is there a better way?
