Face-based luminance matching for perceptual colormap generation
Face-based luminance matching for perceptual colormap generation
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DOI：
10.1109/visual.2002.1183788
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发表时间：
2002-10
期刊：
影响因子：
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通讯作者：
G. Kindlmann;E. Reinhard;Sarah H. Creem-Regehr
中科院分区：
文献类型：
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作者：
G. Kindlmann;E. Reinhard;Sarah H. Creem-Regehr
大多数用于创建和显示基于色图的可视化的系统都没有进行光度校准。也就是说，由于监视器、硬件配置和观看环境的变化，RGB输入电平和感知亮度之间的关系通常是未知的。然而，由于亮度在我们的视觉处理中扮演的核心角色，基于感知的色图的亮度分量应该被控制。我们解决这个问题，一个简单而有效的方法进行亮度匹配未校准的显示器。该方法类似于最小清晰边界技术（以前用于测量发光效率的亮度匹配方法），但我们的方法依赖于大脑高度发达的区分人脸的能力。我们提出了一个用户研究表明，我们的方法产生等效的结果，最小不同的边界技术，但显着提高精度。我们演示了如何从我们的亮度匹配方法的结果可以直接应用到创建新的单变量色彩映射。
Most systems used for creating and displaying colormap-based visualizations are not photometrically calibrated. That is, the relationship between RGB input levels and perceived luminance is usually not known, due to variations in the monitor, hardware configuration, and the viewing environment. However, the luminance component of perceptually based colormaps should be controlled, due to the central role that luminance plays in our visual processing. We address this problem with a simple and effective method for performing luminance matching on an uncalibrated monitor. The method is akin to the minimally distinct border technique (a previous method of luminance matching used for measuring luminous efficiency), but our method relies on the brain's highly developed ability to distinguish human faces. We present a user study showing that our method produces equivalent results to the minimally distinct border technique, but with significantly improved precision. We demonstrate how results from our luminance matching method can be directly applied to create new univariate colormaps.