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Keypoints, decriptors and matches research


I have an Android project, where I have about 50 logos and I need to recognize one of them on the scene(a logo will take about 1/4 of the scene space).

I have no experience with computer vision, I went through all the tutorials about feature detection in OpenCV site, but still - I have like no idea what I'm doing.

As I assume, I have to figure out, which parameters(and classes) are the best for feature detection, decription and matching for my particular case, but how I should do the research?

If you cound give me any tips, where I could start, which steps I should take, I would be very grateful

Thanks in advance