DocumentCode :
2813275
Title :
Robust and hight accurate pattern matching using eigen decomposed templates
Author :
Koutaki, Gou ; Uchimura, Keiichi
Author_Institution :
Kumamoto Univ., Kumamoto, Japan
fYear :
2011
fDate :
9-11 Feb. 2011
Firstpage :
1
Lastpage :
4
Abstract :
This paper proposes the eigen-decomposition template matching. The eigen-decomposition template matching is a method to detect the displacement and the rotational angle accurately between the input and the template image. The proposed method calculates the correlation by matching the images given which is determined by eigen decomposition of the template image to the input image instead of matching the template image to the input image directly. The experimental results show that the proposed method can detect the displacement and rotational angle more accurately than that of the previous method.
Keywords :
correlation methods; eigenvalues and eigenfunctions; image matching; correlation; displacement; eigendecomposition template matching; pattern matching; rotational angle; Accuracy; Correlation; Equations; Lighting; Mathematical model; Noise; Robustness;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Frontiers of Computer Vision (FCV), 2011 17th Korea-Japan Joint Workshop on
Conference_Location :
Ulsan
Print_ISBN :
978-1-61284-677-4
Electronic_ISBN :
978-1-61284-676-7
Type :
conf
DOI :
10.1109/FCV.2011.5739707
Filename :
5739707
Link To Document :
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