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 even with partial overlap and noise .