Spherical Harmonics Descriptor for 2D-Image Retrieval

Author

Sajjanhar, Atul ; Lu, Guojun ; Zhang, Dejing

Author_Institution

Sch. of Inf. Technol., Deakin Univ., Burwood, Vic.

fYear

2005

fDate

6-6 July 2005

Firstpage

105

Lastpage

108

Abstract

In this paper, spherical harmonics are proposed as shape descriptors for 2D images. We introduce the concept of connectivity; 2D images are decomposed using connectivity, which is followed by 3D model construction. Spherical harmonics are obtained for 3D models and used as descriptors for the underlying 2D shapes. Difference between two images is computed as the Euclidean distance between their spherical harmonics descriptors. Experiments are performed to test the effectiveness of spherical harmonics for retrieval of 2D images. Item S8 within the MPEG-7 still images content set is used for performing experiments; this dataset consists of 3621 still images. Experimental results show that the proposed descriptors for 2D images are effective

Keywords

harmonics; image reconstruction; image representation; image retrieval; 2D-image retrieval; 3D model construction; Euclidean distance; MPEG-7 still images content set; spherical harmonic descriptor; Australia; Discrete Fourier transforms; Euclidean distance; Histograms; Image retrieval; MPEG 7 Standard; Performance evaluation; Road transportation; Shape measurement; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Multimedia and Expo, 2005. ICME 2005. IEEE International Conference on

Conference_Location

Amsterdam

Print_ISBN

0-7803-9331-7

Type

conf

DOI

10.1109/ICME.2005.1521371

Filename

1521371