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
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;
Conference_Titel :
Image and Signal Processing and Analysis, 2003. ISPA 2003. Proceedings of the 3rd International Symposium on
Print_ISBN :
953-184-061-X
DOI :
10.1109/ISPA.2003.1296346
