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Feature-based methods have found increasing use in many applications such as object recognition, 3D reconstruction and mosaicing. In this paper, we focus on the problem of matching such features. While a histogram-ofgradients type methods such as SIFT, GLOH and Shape Context are currently popular, several papers have suggested using orders of pixels rather than raw intensities and shown improved results for some applications. The papers suggest two different techniques for doing so: (1) Adoi:10.1109/cvpr.2010.5540195 dblp:conf/cvpr/GuptaPM10 fatcat:xwroolyen5cbzodegira3vujky