| Project/Area Number |
22700180
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Single-year Grants |
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| Research Field |
Perception information processing/Intelligent robotics
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| Research Institution | Nara Institute of Science and Technology |
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Principal Investigator |
TAKAMATSU Jun 奈良先端科学技術大学院大学, 情報科学研究科, 准教授 (90510884)
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| Project Period (FY) |
2010 – 2011
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| Project Status |
Completed (Fiscal Year 2011)
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| Budget Amount *help |
¥4,160,000 (Direct Cost: ¥3,200,000、Indirect Cost: ¥960,000)
Fiscal Year 2011: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2010: ¥2,990,000 (Direct Cost: ¥2,300,000、Indirect Cost: ¥690,000)
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| Keywords | コンピュータビジョン / フォトメトリ / 屋外環境 / 屋外環 / ビジョン / 屋外 |
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| Research Abstract |
We propose a method for estimating inherent surface color robustly against image noises from two registered images taken under different outdoor illuminations. We formulate the likelihood based on maximum likelihood manner while considering both inter-pixel and intra-pixel relationships. We define inter-pixel relationship based on stochastic behavior of image noises and properties of outdoor illumination chromaticity. We rely on the spatial continuity of both surface color and illumination to define intra-pixel relationship. We also propose to maximize the likelihood function in two step manner. Experimental results demonstrate the significant improvement of the proposed method in estimation accuracy compared to previous methods.
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