Color Constancy with Fluorescent Surfaces
Color Constancy with Fluorescent Surfaces
复制标题
荧光表面的颜色稳定性
DOI：
10.2352/cic.1999.7.1.art00048
复制
发表时间：
1999
期刊：
影响因子：
--
通讯作者：
Kobus Barnard
中科院分区：
文献类型：
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作者：
Kobus Barnard
荧光表面在现代世界中很常见，但它们给机器颜色恒定性带来了问题，因为荧光反射通常违反了大多数算法所需的假设。荧光反射的复杂性可能是荧光表面未能引起计算颜色恒常研究人员注意的原因之一。在本文中，我们采取了一些初步措施来纠正这一遗漏。我们首先介绍一种表征荧光表面的简单方法。它基于直接测量，因此误差较低，无需开发全面且准确的物理模型。然后，我们修改和扩展了几种现代颜色恒常性算法来解决荧光问题。考虑的算法是 CRULE 和导数 [1-4]、按相关性着色 [5] 和神经网络方法 [6-8]。通过相关和神经网络方法向颜色添加荧光相对简单，但 CRULE 需要修改，以便可以放松其对对角线模型的完全依赖。我们展示了 CRULE 和 Color by Correlation 的荧光版本的合成和真实图像数据的结果，并将结果与这些算法和其他算法的标准版本进行比较。
Fluorescent surfaces are common in the modern world, but they present problems for machine color constancy because fluorescent reflection typically violates the assumptions needed by most algorithms. The complexity of fluorescent reflection is likely one of the reasons why fluorescent surfaces have escaped the attention of computational color constancy researchers. In this paper we take some initial steps to rectify this omission. We begin by introducing a simple method for characterizing fluorescent surfaces. It is based on direct measurements, and thus has low error and avoids the need to develop a comprehensive and accurate physical model. We then modify and extend several modern color constancy algorithms to address fluorescence. The algorithms considered are CRULE and derivatives [1-4], Color by Correlation [5], and neural net methods [6-8]. Adding fluorescence to Color by Correlation and neural net methods is relatively straight forward, but CRULE requires modification so that its complete reliance on diagonal models can be relaxed. We present results for both synthetic and real image data for fluorescent capable versions of CRULE and Color by Correlation, and we compare the results with the standard versions of these and other algorithms.