Shape palindromes: Analysis of intrinsic symmetries in 2D articulated shapes

Hooda A, Bronstein MM, Bronstein AM, Horaud RP. 2012. Shape palindromes: Analysis of intrinsic symmetries in 2D articulated shapes. Scale Space and Variational Methods in Computer Vision. Third International Conference on Scale Space and Variational Methods in Computer Vision, LNCS, vol. 6667, 665–676.

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Conference Paper | Published | English

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Author
Hooda, Amit; Bronstein, Michael M.; Bronstein, Alex M.ISTA ; Horaud, Radu P.
Series Title
LNCS
Abstract
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.
Publishing Year
Date Published
2012-01-01
Proceedings Title
Scale Space and Variational Methods in Computer Vision
Publisher
Springer Nature
Volume
6667
Page
665–676
Conference
Third International Conference on Scale Space and Variational Methods in Computer Vision
Conference Location
Ein-Gedi, Israel
Conference Date
2012-05-29 – 2012-06-02
ISSN
eISSN
IST-REx-ID

Cite this

Hooda A, Bronstein MM, Bronstein AM, Horaud RP. Shape palindromes: Analysis of intrinsic symmetries in 2D articulated shapes. In: Scale Space and Variational Methods in Computer Vision. Vol 6667. Springer Nature; 2012:665–676. doi:10.1007/978-3-642-24785-9_56
Hooda, A., Bronstein, M. M., Bronstein, A. M., & Horaud, R. P. (2012). Shape palindromes: Analysis of intrinsic symmetries in 2D articulated shapes. In Scale Space and Variational Methods in Computer Vision (Vol. 6667, pp. 665–676). Ein-Gedi, Israel: Springer Nature. https://doi.org/10.1007/978-3-642-24785-9_56
Hooda, Amit, Michael M. Bronstein, Alex M. Bronstein, and Radu P. Horaud. “Shape Palindromes: Analysis of Intrinsic Symmetries in 2D Articulated Shapes.” In Scale Space and Variational Methods in Computer Vision, 6667:665–676. Springer Nature, 2012. https://doi.org/10.1007/978-3-642-24785-9_56.
A. Hooda, M. M. Bronstein, A. M. Bronstein, and R. P. Horaud, “Shape palindromes: Analysis of intrinsic symmetries in 2D articulated shapes,” in Scale Space and Variational Methods in Computer Vision, Ein-Gedi, Israel, 2012, vol. 6667, pp. 665–676.
Hooda A, Bronstein MM, Bronstein AM, Horaud RP. 2012. Shape palindromes: Analysis of intrinsic symmetries in 2D articulated shapes. Scale Space and Variational Methods in Computer Vision. Third International Conference on Scale Space and Variational Methods in Computer Vision, LNCS, vol. 6667, 665–676.
Hooda, Amit, et al. “Shape Palindromes: Analysis of Intrinsic Symmetries in 2D Articulated Shapes.” Scale Space and Variational Methods in Computer Vision, vol. 6667, Springer Nature, 2012, pp. 665–676, doi:10.1007/978-3-642-24785-9_56.

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