DocumentCode :
2234262
Title :
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
Link To Document :
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