Presentation | 2011-10-24 Toward Machine Vision Technology Overcoming the Pixel Resolution Limit : From 3D Vision to Biometric Authentication Takafumi AOKI, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | This paper presents fundamentals of Phase-Only Correlation (POC) -- a technique for high-accuracy registration of 1D, 2D and 3D signals using phase information of discrete Fourier transform. Since 1990s, our research group has developed a novel technique of phase-based image matching for fingerprint verification and industrial machine vision. We have recently proposed an efficient image correspondence algorithm using POC, which can find pairs of corresponding points between the given two images with sub-pixel accuracy. This allows us to apply the POC technique to a wide range of applications, including smart image sensors, microscope image analysis, passive 3D vision, automotive image processing, image-based human interface, biometric authentication, and medical image analysis. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Computer Vision / Image Matching / Image Registration / 3D Measurement / Biometric Authentication |
Paper # | SIP2011-62,ICD2011-65,IE2011-61 |
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Conference Information | |
Committee | ICD |
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Conference Date | 2011/10/17(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Integrated Circuits and Devices (ICD) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Toward Machine Vision Technology Overcoming the Pixel Resolution Limit : From 3D Vision to Biometric Authentication |
Sub Title (in English) | |
Keyword(1) | Computer Vision |
Keyword(2) | Image Matching |
Keyword(3) | Image Registration |
Keyword(4) | 3D Measurement |
Keyword(5) | Biometric Authentication |
1st Author's Name | Takafumi AOKI |
1st Author's Affiliation | Graduate School of Information Sciences, Tohoku University() |
Date | 2011-10-24 |
Paper # | SIP2011-62,ICD2011-65,IE2011-61 |
Volume (vol) | vol.111 |
Number (no) | 258 |
Page | pp.pp.- |
#Pages | 6 |
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