I found [this code][1] for evaluating the SIFT descriptor w.r.t. viewpoint changes using the graffiti data set (present in OpenCV too).
I have two questions:
1. Supposing that I want to test the performance of another dataset, I would need an homography as ground truth. How can I compute it?
2. The code above is specifically designed for the SIFT vector (which distance is measured through euclidean distance, if I'm not wrong). What if I want to evaluate a binary descriptor (where the distance is measured through hamming distance)?
3. There is any built-in tool in OpenCV for descriptors evaluation?
[1]: http://www.robots.ox.ac.uk/~vgg/research/affine/desc_evaluation.html#code
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