2013 Fiscal Year Final Research Report
Research on high-speed and robust image measurement method based on spatial and temporal unique information
| Project/Area Number |
23560512
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Measurement engineering
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| Research Institution | Chukyo University |
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Principal Investigator |
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| Project Period (FY) |
2011 – 2013
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| Keywords | センシング情報処理 / 画像照合 / データ削減 / 濃度共起確率 / テンプレートマッチング |
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| Research Abstract |
In this research, a new image measurement method has been proposed. By using a small number of image information, our method has achieved high speed image matching and object recognition. Its processing time is approximately 1000 times shorter than conventional methods.
I have shown that useful information for image matching is unique pixels and it can be calculated by estimation of probability of co-occurrence of pixel intensity. Robustness for varying illumination was performed by measuring spatial and temporal co-occurrence behaviors. In addition, stable classification ability has been realized by estimating distinguishability of the data for similar objects around the target object. Moreover, I have proposed additional methods to apply this basic idea to 3D object recognition and robust matching for partial occlusion.
I have proved that the proposed method can realize high-speed and reliable image matching by setting appropriate strategy for reducing amount of data.
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