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SUSurE: Speeded Up Surround Extrema feature detector and descriptor for realtime applications
2009
2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
There has been significant research into the development of visual feature detectors and descriptors that are robust to a number of image deformations. Some of these methods have emphasized the need to improve on computational speed and compact representations so that they can enable a range of real-time applications with reduced computational requirements. In this paper we present modified detectors and descriptors based on the recently introduced CenSurE [1] , and show experimental results
doi:10.1109/cvprw.2009.5204313
dblp:conf/cvpr/EbrahimiM09
fatcat:vqlt7towirf4lccf46lzhl63wi