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Object detector for unchanging object viewed from slightly different perstectives

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.