1998 Fiscal Year Final Research Report Summary
Development of Precision Template Matching Method and Its Application to Motion Detection of Image Sequences
| Project/Area Number |
09650417
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
情報通信工学
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| Research Institution | Ehime University |
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Principal Investigator |
YAMADA Yoshio Ehime University, Faculty of Engineering, Associate Professor, 工学部, 助教授 (00110833)
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| Co-Investigator(Kenkyū-buntansha) |
TSUZUKI Shinji Ehime University, Faculty of Engineering, Assistant Professor, 工学部, 助手 (60236924)
TAZAKI Saburo Ehime University, Faculty of Engineering, Professor, 工学部, 教授 (00036394)
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| Project Period (FY) |
1997 – 1998
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| Keywords | template matching / bandlimited interpolation / bilinear interpolation / motion picture |
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| Research Abstract |
This project has developed a new template matching method aiming at a high-resolution detection of displacements between two digital images, wherein the the high-resolution detection means the ability to detect very small displacement as compared with sampling or pixel period. Several key equaltions are developed and discussed for continuos template matching memods with band-limited, FIB., and hi-linear interpolation models. It is also discussed that the pre-filtering using High-Pass Filter (HPF) is essential for ensuring the precision of the continuous template matching. Results of the project are summarized s follows. (1) Investigating the three interpolation models by computer Simulation it is found that bandlimited interpolation model gives best precision. (2) Continuous temuplate mathing methos with three interpolation models are formulated and modified into discrete-type, and then comutiotionally efficient template watching algorithms only using discrete Samples. (3) Using test image sequences, 1/10 - 1/100-pixel resolutions are obtained by proposed method with band-limited interpolation model. (4) Computationally efficient, two-step matching algorithm are developed. (5) Possibility of application to data embedding method is presented.
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Research Products
(22 results)
