Title :
Shift and rotation invariant feature of 3D patterns based on the third-order correlation
Author_Institution :
Fac. of Eng., Kagawa Univ., Takamatsu, Japan
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;
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
DOI :
10.1109/ISSPA.1999.818173
