Fuzzy Systems and Knowledge Discovery, Fourth International Conference on (2007)
Haikou, Hainan, China
Aug. 24, 2007 to Aug. 27, 2007
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/FSKD.2007.173
Zhitao Xiao , Tianjin Polytechnic University, Tianjin
Jun Wu , Tianjin Polytechnic University, Tianjin
Symmetry exists widely in the real world and plays a remarkable role in perception problems. Fast and effective symmetry detection is still a difficult problem in computer vision. Typical image symmetry detectors are analyzed. From the viewpoint of information used, the literatures on image symmetry detection are analyzed systematically. And symmetry detectors can be categorized to two kinds, that is, gradient-based ones and phase-based ones. Characteristics of each kind are discussed. The key issues of the important symmetry detectors are explained extensively and comprehensively. Based on the survey, some open issues, which needed to be researched further, are presented, and the future research trends are also given.
Z. Xiao and J. Wu, "Analysis on Image Symmetry Detection Algorithms," 2007 International Conference on Fuzzy Systems and Knowledge Discovery(FSKD), Haikou, 2007, pp. 745-750.