Spherical harmonics descriptor for 2D-image retrieval

Sajjanhar, Atul, Lu, Guojun and Zhang, Dengsheng 2005, Spherical harmonics descriptor for 2D-image retrieval, in 2005 IEEE International Conference on Multimedia and Expo (ICME), IEEE Operations Center, Piscataway, N.J..

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Title Spherical harmonics descriptor for 2D-image retrieval
Author(s) Sajjanhar, Atul
Lu, Guojun
Zhang, Dengsheng
Conference name IEEE International Conference on Multimedia and Expo (2005 : Amsterdam, Netherlands)
Conference location Amsterdam, The Netherlands
Conference dates 6-8 July 2005
Title of proceedings 2005 IEEE International Conference on Multimedia and Expo (ICME)
Editor(s) [Unknown]
Publication date 2005
Conference series International Conference on Multimedia and Expo
Publisher IEEE Operations Center
Place of publication Piscataway, N.J.
Keyword(s) harmonics
image reconstruction
image representation
image retrieval
Summary 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
ISBN 0780393317
Language eng
Field of Research 080106 Image Processing
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category E1 Full written paper - refereed
Persistent URL http://hdl.handle.net/10536/DRO/DU:30005750

Document type: Conference Paper
Collection: School of Information Technology
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