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An affine invariant function using PCA bases with an application to within-class object recognition

Tzimiropoulos, Georgios; Mitianoudis, Nikolaos; Stathaki, Tania

Authors

Georgios Tzimiropoulos

Nikolaos Mitianoudis

Tania Stathaki



Abstract

The problem of shape-based recognition of objects under affine transformations is considered. We focus on the construction of a robust and highly discriminative affine invariant function that can be used for within-class object recognition applications. Using the boundaries of the objects of interest, a training scheme, based on principal component analysis (PCA), is proposed to derive a set of basis functions with desired properties. The derived bases are then used for the construction of a novel affine invariant function. The proposed invariant function is evaluated for the problem of aircraft silhouette identification and appears to achieve comparable performance to a popular wavelet-based affine invariant function. At the same time, the proposed framework is much simpler than that based on wavelet analysis.

Publication Date Jan 1, 2007
Peer Reviewed Peer Reviewed
Volume 1
Article Number I-785-I-788
APA6 Citation Tzimiropoulos, G., Mitianoudis, N., & Stathaki, T. (2007). An affine invariant function using PCA bases with an application to within-class object recognition
Keywords Object Recognition, Principal Component Analysis, Wavelet Transforms
Publisher URL http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4217197
Copyright Statement Copyright information regarding this work can be found at the following address: http://eprints.nottingh.../end_user_agreement.pdf
Additional Information Published in: 2007 IEEE International Conference on Acoustics, Speech and Signal Processing: proceedings: April 16-20, 2007, Hawaii Convention Center, Honolulu, Hawaii, U.S.A. Piscataway, N.J. : IEEE, 2007. ISBN: 978-1-4244-0727-9. pp. I-785-I-788, doi: 10.1109/ICASSP.2007.366025 ©2007 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.

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Copyright Statement
Copyright information regarding this work can be found at the following address: http://eprints.nottingham.ac.uk/end_user_agreement.pdf





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