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Detecting Rotational Symmetry via Global/Local Image Analysis
2013
IAPR International Workshop on Machine Vision Applications
We propose a unified framework for rotational symmetry detection that combines the advantages of global and local image analysis. While existing methods based on global image analysis have proven to achieve stateof-the-art results, potential symmetries detected by the global methods still involve many false positives. Our idea is to employ efficient local image analysis as a cue, to intelligently choose most likely symmetry candidates, out of the potential candidates detected by the global
dblp:conf/mva/InagakiT13
fatcat:ge7er3lncjez5bmvgnzdhebxgm