Symmetry detection using frequency domain motion estimation techniques

Tzimiropoulos, Georgios; Argyriou, Vasileios; Stathaki, Tania

Abstract

A frequency domain approach for the detection of symmetries in real images is presented. Our framework is based on recent state-of-the-art research where motion estimation techniques are employed to sequentially determine all the associated parameters. In particular, we introduce several modifications regarding the order of symmetry estimation and the detection of the axes of possible bilateral symmetry. Preliminary results demonstrate the efficiency of our approach.

Citation

Tzimiropoulos, G., Argyriou, V., & Stathaki, T. (2008). Symmetry detection using frequency domain motion estimation techniques. . https://doi.org/10.1109/ICASSP.2008.4517746

• Conference Name: IEEE International Conference on Acoustics, Speech and Signal Processing, 2008. ICASSP 2008
• End Date: Mar 4, 2008
• Publication Date: Jan 1, 2008
• Deposit Date: Feb 1, 2016
• Publicly Available Date: Feb 1, 2016
• Journal: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing-Proceedings
• Peer Reviewed: Peer Reviewed
• DOI: https://doi.org/10.1109/ICASSP.2008.4517746
• Public URL: https://nottingham-repository.worktribe.com/output/1016307
• Publisher URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=4517746
• Additional Information: IEEE International Conference on Acoustics, Speech and Signal Processing, 2008 : ICASSP : Las Vegas, NV, March 31, 2008 - April 4, 2008. Piscataway, NJ : IEEE, 2008. ISBN 9781424414840. doi 10.1109/ICASSP.2008.4517746; ; © 2008 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.