Given a set of packaging matches that numbered few enough to be completely downloaded to the Android device, what would be a good approach for detection / classification? My first thought was keypoints, since typical retail packaging has plenty of structure to work with. False positives might need attention, perhaps managed with geometric verification. HOG-template with sliding window and multiple scales as primary detection might be too process intensive for the device.
If someone here has experience in this area and knows what works and what should be avoided, that would save a lot of experimentation. Or if there's code somewhere that does something like this that works, that starting point would also be very helpful.
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