Estimating Surface Reflectance Spectra for Underwater Color Vision
Estimating Surface Reflectance Spectra for Underwater Color Vision
复制标题
估计水下色觉的表面反射光谱
DOI：
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发表时间：
2008
期刊：
影响因子：
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通讯作者：
Ioannis M. Rekleitis
中科院分区：
文献类型：
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作者：
S. Skaff;James J. Clark;Ioannis M. Rekleitis
本文介绍了一种利用非定标彩色相机估计未知水下环境中表面光谱反射率的新的数学方法。该方法无需对水下介质的光散射和吸收等特性进行显式建模，即可得到表面谱估计。后两种现象依赖于两个参数，即物体到摄像机的距离和物体在水中的深度。所提出的方法不需要预先指定这些参数。光谱模型对于水下应用非常有用，因为需要区分颜色的细微差别。这样的模型对于融合来自多幅图像的信息也很有用。实验结果表明，该方法具有较好的效果。
This paper introduces a novel mathematical approach to surface spectral reflectance estimation in unknown underwater environments using uncalibrated color cameras. The approach derives surface spectral estimates without explicitly modeling the underwater medium characteristics such as light scattering and absorption. The latter two phenomena are dependent upon two parameters, which are the distance of the object from the camera and the depth of the object in water. The proposed approach does not require these parameters to be specified in advance. Spectral models are useful for underwater applications, where subtle differences in color need to be distinguished. Such models are also useful for fusing information from multiple images. We show that the proposed approach yields promising results.