DocumentCode
430215
Title
Spherical harmonic descriptor for gray-level image similarity matching
Author
Zhang Zhi-yong ; Pan Zhi-geng ; Zhang Ming min
Author_Institution
Stat Key Lab of CAD&CG, Zhejiang Univ., Hangzhou, China
fYear
2004
fDate
18-20 Dec. 2004
Firstpage
164
Lastpage
167
Abstract
In this paper, we present a new spherical harmonics-based descriptor for matching the shape similarity between two gray-level images. We describe the properties of this descriptor and show how it can be applied to match the shape similarity between two gray-level images. The advantages of this descriptor are two-fold. First, the spherical harmonic descriptor is invariant to rotation. Second, the spherical harmonic descriptor is a 3D descriptor, which in turn makes comparison of the two gray-level images more efficient.
Keywords
image matching; 3D descriptor; gray-level image similarity matching; spherical harmonic descriptor; Content based retrieval; Equations; Fourier transforms; Graphics; Image reconstruction; Image retrieval; Information retrieval; Polynomials; Shape; Virtual reality;
fLanguage
English
Publisher
ieee
Conference_Titel
Image and Graphics (ICIG'04), Third International Conference on
Conference_Location
Hong Kong, China
Print_ISBN
0-7695-2244-0
Type
conf
DOI
10.1109/ICIG.2004.135
Filename
1410411
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