Wednesday, 21 September 2016

computer vision - Scale and Rotation invariant feature descriptors


Can you list some scale and rotational invariant feature descriptors for use in feature detection.


The application is for the detection of cars and humans in video captured by a UAV, using a multi-class classifier.


So far I have been looking at SIFT and MSER (which is affine invariant). I have also looked at LESH, LESH is based on the local energy model, but is calculated in a way that is not rotationally invariant, I have been trying to think of a way to make use of the Local energy, to build a rotationally invariant feature descriptor, I read here What are some free alternatives to SIFT/ SURF that can be used in commercial applications? ,that " if you assign orientation to the interest point and rotate the image patch accordingly, you get rotational invariance for free", but don't know if this is even relievent or how i could apply this to my problem, any help would be appreciated, thanks




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