DocumentCode
2542366
Title
3D Gray Level Moment Invariants: A Novel Shape Representation
Author
Guo, Kehua ; Li, Min
Author_Institution
Sch. of Inf. Sci. & Eng., Central South Univ., Changsha, China
fYear
2009
fDate
4-6 Nov. 2009
Firstpage
1
Lastpage
4
Abstract
3D moment invariants are traditionally based on region characteristics and the location of every pixel point, this will cause high calculation cost. In this paper, a novel shape representation named 3D gray level moment invariants is constructed. Some properties of the new representation including the independence of the translation, scaling and rotation transforms are proved. Experiments indicate an encouraging high recognition rates without reducing the recognition performance compared with traditional methods.
Keywords
image representation; transforms; 3D moment invariant; 3Dshape representation; Application software; Computer vision; Costs; Image reconstruction; Image segmentation; Information science; Noise shaping; Object recognition; Shape; Working environment noise;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 2009. CCPR 2009. Chinese Conference on
Conference_Location
Nanjing
Print_ISBN
978-1-4244-4199-0
Type
conf
DOI
10.1109/CCPR.2009.5344066
Filename
5344066
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