Title :
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.
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;
Conference_Titel :
Pattern Recognition, 2006. ICPR 2006. 18th International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
0-7695-2521-0
DOI :
10.1109/ICPR.2006.111