Set of invariant features for three-dimensional gray-level objects by harmonic analysis

Author

Zribi, Mourad ; Fonga, Hubert ; Ghorbel, Faouzi

Author_Institution

GRIF, Villeneuve d´´Ascq, France

Volume

1

fYear

1996

fDate

25-29 Aug 1996

Firstpage

549

Abstract

The recognition of three-dimensional objects of various size, position and orientation, is an important and difficult problem in scene analysis. The description by moment invariants is recognized as the usual method in this case. Here, we intend to introduce another solution based on the harmonic analysis on a given group. Gray level three-dimensional objects are considered in this paper. Such a description is invariant with respect to general three-dimensional Euclidean motions. Stability under small shape distortions is proven experimentally in the case of superquadric volumes

Keywords

Fourier transforms; group theory; harmonic analysis; image representation; image texture; object recognition; stereo image processing; 3D Euclidean motions; 3D gray-level object recognition; Fourier transform; group representation theory; harmonic analysis; image texture; invariant features; scene analysis; shape distortions; shape representation; Equations; Fourier transforms; Harmonic analysis; Image analysis; Image processing; Image recognition; Shape; Stability;

fLanguage

English

Publisher

ieee

Conference_Titel

Pattern Recognition, 1996., Proceedings of the 13th International Conference on

Conference_Location

Vienna

ISSN

1051-4651

Print_ISBN

0-8186-7282-X

Type

conf

DOI

10.1109/ICPR.1996.546086

Filename

546086