I am currently working on a project that will utilize the chamfer matching algorithm. The program will show an image and then a user will try draw the image using a touch device. The program will then match and compute the similarity scores of the hand drawn image vs the given image based on their edges.
I had reviewed the chamfer matching example from the /opencv/samples/cpp it was a good algorithm for template matching but it does not provide the chamfer distance score between the template image and the image edge map. My question is what is the specific function/method i should use to get the chamfer score of the hand drawn image against the given image. Is there also a way to get the similarity score in percentage?
