For example, the average distance between detected key points appears to increase (qualitative observation) with photos at resolution of 7360 x 4912, vice my typical 1920x1080 or 4K+ datasets.
I am curious as to what peak/edge thresholds are used by others in this group when going beyond 1080p and 4K? How about reducing the first octave index (to -2) or increasing the number of levels per octave (to 4?). I'm seeing more key points by doing so, but am now waiting around results from matching.
Any thoughts around this would be helpful since there are a lot of pixels in my input imagery that are not detected, consider only ~5K features per image @ 7360x4912. These are pretty simple aerial images shot in nadir with ~80% overlap and plenty of unique features.
Thanks in advance,
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