Fast polar and spherical fourier descriptors for feature extraction

Zhuo Yang*, Sei Ichiro Kamata

*この研究の対応する著者

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

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.

本文言語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
出版ステータスPublished - 2010 11月 18
イベント2010 20th International Conference on Pattern Recognition, ICPR 2010 - Istanbul, Turkey
継続期間: 2010 8月 232010 8月 26

出版物シリーズ

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

Other

Other2010 20th International Conference on Pattern Recognition, ICPR 2010
国/地域Turkey
CityIstanbul
Period10/8/2310/8/26

ASJC Scopus subject areas

  • コンピュータ ビジョンおよびパターン認識

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