A New Affine Invariant Curve Normalization Technique Using Independent Component Analysis

Author

Sener, Sait ; Unel, Mustafa

Author_Institution

Dept. of Comput. Sci., Istanbul Tech. Univ.

Volume

2

fYear

0

fDate

0-0 0

Firstpage

48

Lastpage

48

Abstract

A new affine invariant curve normalization method using independent component analysis (ICA) is presented. First, principal component analysis (PCA) is used for translation, scale and shear normalization. ICA and the third order moments are then employed for rotation and reflection normalization. It is shown that all affine transformed versions of an object have a unique or canonical representation. Experiments are conducted to asses the robustness of our approach. Proposed normalization technique can be used as a pre-processing for object modeling and recognition

Keywords

affine transforms; image representation; independent component analysis; object recognition; principal component analysis; affine invariant curve normalization; canonical representation; independent component analysis; object modeling; object recognition; principal component analysis; third order moments; Active shape model; Computer science; Data mining; Independent component analysis; Principal component analysis; Reflection; Robustness; Signal processing; Source separation; Spline;

fLanguage

English

Publisher

ieee

Conference_Titel

Pattern Recognition, 2006. ICPR 2006. 18th International Conference on

Conference_Location

Hong Kong

ISSN

1051-4651

Print_ISBN

0-7695-2521-0

Type

conf

DOI

10.1109/ICPR.2006.111

Filename

1699145