Presentation	2011-10-06 Analytical Representation of Gaussian Blurred Image by Continuous Eigen Analysis and its Applications Gou KOUTAKI, Keiichi UCHIMURA,
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Abstract(in English)	Recently, a scale-space image processing becomes more important in a pattern recognition. In the scale-space, multiple images are generated by filtering gaussian kernels with multiple scale parameters. In order to higher accuracy, it is necessary to increase the number of images with multiple scale parameters. However, it has trade-off relationship between an accuracy and a calculation cost. In this work, we tried to apply a spectrum decomposition to the gaussian filters with multiple scale parameters, and we will show that the gaussian blurred image with any scale can be represented by a polynomial equation of scale parameter. Finally, as its application, we will propose a new method to detect the scale invariant feature.
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Paper #	PRMU2011-86
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Committee	PRMU
Conference Date	2011/9/29(1days)
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Registration To	Pattern Recognition and Media Understanding (PRMU)
Language	JPN
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Title (in English)	Analytical Representation of Gaussian Blurred Image by Continuous Eigen Analysis and its Applications
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1st Author's Name	Gou KOUTAKI
1st Author's Affiliation	Graduate School of Science and Technology, Kumamoto University()
2nd Author's Name	Keiichi UCHIMURA
2nd Author's Affiliation	Graduate School of Science and Technology, Kumamoto University
Date	2011-10-06
Paper #	PRMU2011-86
Volume (vol)	vol.111
Number (no)	222
Page	pp.pp.-
#Pages	6
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