Estimating Spectral Reflectance of Fabrics from High-Resolution Multi-band HDR Images(<Special issue>Digital Museum Evolution)
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- Tanaka Shiro
- School of Information Science, Ritsumeikan University
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- Takayanagi Aki
- School of Information Science, Ritsumeikan University
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- Tsuchida Masaru
- Center for Ritsumeikan University Research:NTT Communication Science Laboratories, NTT Corporation
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- Sakaguchi Yoshiyuki
- School of Information Science, Ritsumeikan University
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- Tanaka Hiromi T.
- School of Information Science, Ritsumeikan University
Bibliographic Information
- Other Title
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- 高分解能マルチバンドHDR画像解析に基づく織物の分光反射率推定(<特集>デジタルミュージアムの展開)
- 高分解能マルチバンドHDR画像解析に基づく織物の分光反射率推定
- コウブンカイノウ マルチバンド HDR ガゾウ カイセキ ニ モトズク オリモノ ノ ブンコウ ハンシャリツ スイテイ
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Description
In this paper, we propose a new method to estimate spectral reflectance of glossy objects such as silk-like fabrics from high resolution multi-band HDR images. Specular reflection of fabrics is known to be body-colored and quite larger than diffuse reflection, which makes spectral reflectance estimation unstable. To overcome this problem, luminance of multi-band signal is normalized before estimating spectral reflectance estimation. Experimental results on glossy color charts and a satin fabric demonstrated superior performance over conventional methods. The proposed method was also effective regardless of the estimation methods such as PLS and Wiener estimation, multiple regression analysis.
Journal
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- Transactions of the Virtual Reality Society of Japan
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Transactions of the Virtual Reality Society of Japan 20 (1), 35-44, 2015
THE VIRTUAL REALITY SOCIETY OF JAPAN
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Details 詳細情報について
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- CRID
- 1390282679440547840
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- NII Article ID
- 110009931659
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- NII Book ID
- AA11448578
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- ISSN
- 24239593
- 1344011X
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- NDL BIB ID
- 026310247
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- CiNii Articles
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- Abstract License Flag
- Disallowed