| Project/Area Number |
15300050
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Perception information processing/Intelligent robotics
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| Research Institution | Tohoku University |
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Principal Investigator |
AOKI Takafumi Tohoku University, Graduate School of Information Sciences, Professor, 大学院・情報科学研究科, 教授 (80241529)
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| Co-Investigator(Kenkyū-buntansha) |
HONMA Naofumi Tohoku University, Graduate School of Information Sciences, Research Associate, 大学院・情報科学研究科, 助手 (00343062)
HIGUCHI Tatsuo Tohoku Institute of Technology, Department of Engineering, Professor, 工学部電子工学科, 教授 (20005317)
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| Project Period (FY) |
2003 – 2005
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| Project Status |
Completed (Fiscal Year 2005)
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| Budget Amount *help |
¥10,300,000 (Direct Cost: ¥10,300,000)
Fiscal Year 2005: ¥3,500,000 (Direct Cost: ¥3,500,000)
Fiscal Year 2004: ¥3,000,000 (Direct Cost: ¥3,000,000)
Fiscal Year 2003: ¥3,800,000 (Direct Cost: ¥3,800,000)
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| Keywords | Image Registration / Image Matching / Phase-Only Correlation / 3D Measurement / Super-Resolution / Biometrics / Digital Signal Processing / VLSI Design / 位相限定相関数 |
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| Research Abstract |
1. A high-accuracy image matching technique using Phase-Only Correlation (POC) function was developed. The newly developed technique can improve matching performance by fitting the closed-form analytical model of the correlation peak to actual two-dimensional numerical data. This technique can also be extended to a spectrum weighting POC technique, where we modify cross-phase spectrum with some weighting functions to enhance registration accuracy. We provided systematic experimental analysis of the matching performance of the proposed technique by evaluating the errors in estimating the translational displacements, the rotation angle and the scale factor.
2. Some applications of the POC-based image matching/registration technique to (i) high-accuracy scale estimation for electron microscopes, (ii) high-accuracy measurement for metal component inspection, (iii) super-resolution processing for video sequences, (iv) high-quality background sprite generation, (v) video object segmentation, and (vi) fingerprint/3D face recognition were studied.
3. System implementation techniques were investigated for developing the above applications. We studied the implementation of the application (i) on a general-purpose processor since it handles only 2D still images. On the other hand, we studied the implementations of the applications (ii)-(vi) on a digital signal processor and specific hardware.
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