| アイテムタイプ |
学術雑誌論文 = Journal Article(1) |
| 公開日 |
2024-11-07 |
| 資源タイプ |
|
|
資源タイプ識別子 |
http://purl.org/coar/resource_type/c_5794 |
|
資源タイプ |
conference paper |
| タイトル |
|
|
タイトル |
Estimating Absorption Coefficient from a Single Image via Entropy Minimization |
|
言語 |
en |
| 言語 |
|
|
言語 |
eng |
| 著者 |
Katahira, Junya
Kawahara, Ryo
Okabe, Takahiro
|
| 抄録 |
|
|
内容記述タイプ |
Abstract |
|
内容記述 |
When light passes through a liquid, its energy is attenuated due to absorption. The attenuation depends on both the spectral absorption coefficient of a liquid and the optical path length of light, and is described by the Lambert-Beer law. The spectral absorption coefficients of liquids are often unknown in real-world applications and to be measured/estimated in advance, because they depend not only on liquid media themselves but also on dissolved materials. In this paper, we propose a method for estimating the three-band (RGB) absorption coefficient of a liquid only from a single color image of an under-liquid scene taken from the outside of the liquid in a passive and non-contact manner. Specifically, our proposed method investigates the observed colors in the log of chromaticity band-ratio space, and estimates the absorption coefficient up to a certain ambiguity via entropy minimization. Moreover, we reveal the effects of the ambiguity on the applications to under-liquid image/scene analysis. We conducted a number of experiments using real images, and confirmed that our method works well and is useful for under-liquid shape recovery, absorption removal, and reflectance recovery. |
|
言語 |
en |
| 備考 |
|
|
内容記述タイプ |
Other |
|
内容記述 |
34th British Machine Vision Conference, BMVC 2023, 20 - 24 November, 2023, Aberdeen, UK |
| 書誌情報 |
発行日 2023-11
|
| URI |
|
|
|
識別子タイプ |
URI |
|
|
関連識別子 |
https://proceedings.bmvc2023.org/ |
| 著作権関連情報 |
|
|
権利情報 |
Copyright (c) 2023. The copyright of this document resides with its authors. It may be distributed unchanged freely in print or electronic forms. |
| 出版タイプ |
|
|
出版タイプ |
VoR |
|
出版タイプResource |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
| 査読の有無 |
|
|
値 |
yes |
| 研究者情報 |
|
|
URL |
https://hyokadb02.jimu.kyutech.ac.jp/html/100001422_ja.html |
| 論文ID(連携) |
|
|
値 |
10441844 |
| 連携ID |
|
|
値 |
12418 |