Object detector for unchanging object viewed from slightly different perstectives [closed]
I have seen how effective SURF and SIFT can be at feature matching 2d images, but I was wondering if training a cascade filter on a single object would be better for detecting a single object at different orientations and distances.
The goal would be to detect a raised landing pad-like object from a UAV when the object may be at the edge of a wide angle image, at any orientation, and/or from a substantial height. This object will be around a foot cubed and could have distinctive coloring and markings.
Thanks!
maybe, you can just slap some markers, like aruco onto your landing platform ?
Like @berak said, use markers, technique has been proven and is succesfully used in several applications like this company.
Do those do well at a distance?
Yes, they actually do. We even use large squared meter markers for drones flying relatively higher!