Fast polar and spherical fourier descriptors for feature extraction

研究成果: Conference contribution

1 引用 (Scopus)

抜粋

Polar Fourier Descriptor(PFD) and Spherical Fourier Descriptor(SFD) are rotation invariant feature descriptors for two dimensional(2D) and three dimensional(3D) image retrieval and pattern recognition tasks. They are demonstrated to show superiorities compared with other methods on describing rotation invariant features of 2D and 3D images. However in order to increase the computation speed, fast computation method is needed especially for applications like realtime systems and large image databases. This paper presents fast computation method for PFD and SFD that based on mathematical properties of trigonometric functions and associated Legendre polynomials. Proposed fast PFD and SFD are 8 and 16 times faster than traditional ones that significantly boost computation process.

元の言語English
ホスト出版物のタイトルProceedings - 2010 20th International Conference on Pattern Recognition, ICPR 2010
ページ975-978
ページ数4
DOI
出版物ステータスPublished - 2010 11 18
イベント2010 20th International Conference on Pattern Recognition, ICPR 2010 - Istanbul, Turkey
継続期間: 2010 8 232010 8 26

出版物シリーズ

名前Proceedings - International Conference on Pattern Recognition
ISSN(印刷物)1051-4651

Other

Other2010 20th International Conference on Pattern Recognition, ICPR 2010
Turkey
Istanbul
期間10/8/2310/8/26

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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  • これを引用

    Yang, Z., & Kamata, S. I. (2010). Fast polar and spherical fourier descriptors for feature extraction. : Proceedings - 2010 20th International Conference on Pattern Recognition, ICPR 2010 (pp. 975-978). [5595834] (Proceedings - International Conference on Pattern Recognition). https://doi.org/10.1109/ICPR.2010.244