Analysis of intrinsic symmetries of non-rigid and articulated shapes is an important problem in pattern recognition with numerous applications ranging from medicine to computational aesthetics. Considering articulated planar shapes as closed curves, we show how to represent their extrinsic and intrinsic symmetries as self-similarities of local descriptor sequences, which in turn have simple interpretation in the frequency domain. The problem of symmetry detection and analysis thus boils down to analysis of descriptor sequence patterns. For that purpose, we show two efficient computational methods: one based on Fourier analysis, and another on dynamic programming. © 2012 Springer-Verlag.
CITATION STYLE
Hooda, A., Bronstein, M. M., Bronstein, A. M., & Horaud, R. P. (2012). Shape palindromes: Analysis of intrinsic symmetries in 2D articulated shapes. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6667 LNCS, pp. 665–676). https://doi.org/10.1007/978-3-642-24785-9_56
Mendeley helps you to discover research relevant for your work.