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18th International Conference on Pattern Recognition (ICPR'06) Volume 2
A New Affine Invariant Curve Normalization Technique Using Independent Component Analysis
Hong Kong
August 20-August 24
ISBN: 0-7695-2521-0
Sait Sener, Istanbul Technical University
Mustafa Unel, Sabanci University
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.
Citation:
Sait Sener, Mustafa Unel, "A New Affine Invariant Curve Normalization Technique Using Independent Component Analysis," icpr, vol. 2, pp.48, 18th International Conference on Pattern Recognition (ICPR'06) Volume 2, 2006
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