DocumentCode
350725
Title
Shift and rotation invariant feature of 3D patterns based on the third-order correlation
Author
Horikawa, Yo
Author_Institution
Fac. of Eng., Kagawa Univ., Takamatsu, Japan
Volume
1
fYear
1999
fDate
1999
Firstpage
305
Abstract
The author presents a novel feature of three-dimensional (3D) patterns invariant to shift and rotation based on the third-order correlation. The invariant feature, the table of the triple product of similar triangles, represents the amount of the apexes of similar triangles in 3D image data. Computer simulation shows that three kinds of 3D lattice point patterns are well recognized under random shift and rotation by using the invariant feature
Keywords
correlation methods; feature extraction; image processing; 3D image data; 3D lattice point patterns; computer simulation; random rotation; random shift; rotation invariant feature; shift invariant feature; similar triangles; third-order correlation; triple product table; Australia; Computer simulation; Digital images; Gray-scale; Image processing; Image recognition; Lattices; Pattern recognition; Signal processing; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing and Its Applications, 1999. ISSPA '99. Proceedings of the Fifth International Symposium on
Conference_Location
Brisbane, Qld.
Print_ISBN
1-86435-451-8
Type
conf
DOI
10.1109/ISSPA.1999.818173
Filename
818173
Link To Document