| Project/Area Number |
15K00239
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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 |
Perceptual information processing
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| Research Institution | Kyushu University |
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Principal Investigator |
Hara Kenji 九州大学, 芸術工学研究院, 准教授 (50380712)
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| Co-Investigator(Kenkyū-buntansha) |
浦濱 喜一 九州大学, 芸術工学研究院, 教授 (10150492)
井上 光平 九州大学, 芸術工学研究院, 准教授 (70325570)
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| Co-Investigator(Renkei-kenkyūsha) |
URAHAMA KIICHI 九州大学, 大学院芸術工学研究院, 教授 (10150492)
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| Project Period (FY) |
2015-04-01 – 2018-03-31
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| Project Status |
Completed (Fiscal Year 2017)
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| Budget Amount *help |
¥3,120,000 (Direct Cost: ¥2,400,000、Indirect Cost: ¥720,000)
Fiscal Year 2017: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2016: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2015: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
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| Keywords | 異方性BRDF / 変数分離 / 最大事後確率推定 / インバースレンダリング / BRDFデータ再構成 / EMアルゴリズム / 不均等拡散面 / 未較正照度差ステレオ / 異方性反射 / 等方性反射 |
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| Outline of Final Research Achievements |
We developed a new method for reconstructing real-world BRDFs from BRDF data, which are raw data captured by exhaustively tabulating reflectance from many sampled incident and reflected directions. More specifically, we derive a low-dimensional semi-parametric model to perform interpolation directly in the parameter space to the missing reflectance data. The approach employed in this study is as follows. The microfacet distribution in an anisotropic reflectance model is first approximated as a product of two constrained mixtures of Gaussian distribution functions. Then, this approximation leads fitting low-dimensional parametric models to the acquired reflectance data to provide a maximum a posteriori (MAP) estimation. Finally, unknown set of model parameters is determined by minimizing Kullback-Leibler distance between expected and observed probability density functions. The reconstructed BRDF is then used for completely rendering virtual objects from missing BRDF data.
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