Hello,
I am currently working on an ORB detector/descriptor for recognizing the Images which are captured from the camera and am a bit novice to this stuff.
Here goes my topic:
Eventhough I capture only the 60-70% of the image it is going to recognise what kind of Image it is. I would like to know what would be the technical concept involved behind it for recognising the image even if it is not fully captured. Is it because of the scale space pyramid or the threshold value? Until how much % (keypoints) can it be work?
Thanks,