DocumentCode
2956301
Title
Enhanced affine invariant shape description by ESPRIT
Author
Wu, Qiang ; He, Xiangjian ; Hintz, Tom
Author_Institution
Dept. of Comput. Syst., Univ. of Technol., Sydney, NSW, Australia
Volume
2
fYear
2003
fDate
18-20 Sept. 2003
Firstpage
593
Abstract
Affine transform best describes the shape change of an image that is viewed in different angles. Affine invariant shape descriptor provides us a means to recognize the object in an image regardless of shape change of the object. In this paper, three affine invariant shape descriptors are presented, which are all based on Fourier transform. To suppress the inherent shortage of Fourier transform, estimation of signal parameters via rotational invariance techniques (ESPRIT) is adopted to improve the discriminability of shape descriptor.
Keywords
Fourier transforms; image recognition; invariance; object recognition; parameter estimation; Fourier transform; affine transform; enhanced affine invariant shape descriptor; image recognition; image shape; object recognition; object shape; rotational invariance technique; signal parameter estimation; Australia; Character recognition; Fourier transforms; Helium; Image analysis; Image processing; Image recognition; Object recognition; Parameter estimation; Shape;
fLanguage
English
Publisher
ieee
Conference_Titel
Image and Signal Processing and Analysis, 2003. ISPA 2003. Proceedings of the 3rd International Symposium on
Print_ISBN
953-184-061-X
Type
conf
DOI
10.1109/ISPA.2003.1296346
Filename
1296346
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