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An efficient approach for boundary based corner detection by maximizing bending ratio and curvature
2007
2007 9th International Symposium on Signal Processing and Its Applications
This paper introduces a novel corner detection method, which is based on the bending ratio of a moving window along with a local curvature approximation. A preprocessing step is first carried out in order to find one-pixel thin object boundaries. The proposed method traces over these boundaries, as we refer to as sub-segments and as the first step all potential corners are extracted by finding the maximum bending ratio in the moving window. The exact corner position within the window is then
doi:10.1109/isspa.2007.4555467
dblp:conf/isspa/KiranyazLFG07
fatcat:dnjysbpq3vdxtbcxwz5xfu423e