Şener, Sait and Ünel, Mustafa (2006) A New affine invariant curve normalization technique using independent component analysis. In: The 18th International Conference on Pattern Recognition, Hong Kong
Full text not available from this repository. (Request a copy)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 modelling and recognition.
Item Type: | Papers in Conference Proceedings |
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Subjects: | Q Science > QA Mathematics |
Divisions: | Faculty of Engineering and Natural Sciences |
Depositing User: | Mustafa Ünel |
Date Deposited: | 13 Dec 2006 02:00 |
Last Modified: | 26 Apr 2022 08:33 |
URI: | https://research.sabanciuniv.edu/id/eprint/1230 |