Before revision:  We present a framework that leverages these polygons to generate a signature that is used detect previously seen observations  even with partial overlap and different levels of noisewhile also inferring landmark correspondences to compute an affine transformation between observations .
After revision:  We present a framework that leverages these polygons to generate a signature that is used detect previously seen observations and landmark correspondences, even with partial overlap and different levels of noisewhile also inferring landmark correspondences to compute an affine transformation between observations .