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Assessing Human Skin Color from Uncalibrated Images

机译:通过未校准的图像评估人的肤色

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摘要

Images of a scene captured with multiple cameras will have different color values because of variations in color rendering across devices. We present a method to accurately retrieve color information from uncalibrated images taken under uncontrolled lighting conditions with an unknown device and no access to raw data, but with a limited number of reference colors in the scene. The method is used to assess skin tones. A subject is imaged with a calibration target. The target is extracted and its color values are used to compute a color correction transform that is applied to the entire image. We establish that the best mapping is done using a target consisting of skin colored patches representing the whole range of human skin colors. We show that color information extracted from images is well correlated with color data derived from spectral measurements of skin. We also show that skin color can be consistently measured across cameras with different color rendering and resolutions ranging from 0.1 to 4.0 megapixels.
机译:由于跨设备的色彩渲染存在差异,因此使用多台摄像机捕获的场景图像将具有不同的颜色值。我们提出了一种方法,该方法可以使用未知设备,无法访问原始数据,但场景中的参考色数量有限,从不受控制的照明条件下拍摄的未经校准的图像中准确检索颜色信息。该方法用于评估肤色。用校准目标对对象成像。提取目标,并将其颜色值用于计算应用于整个图像的颜色校正变换。我们确定,最好的映射是使用代表皮肤色块的目标完成的,这些皮肤色块代表人类皮肤的整个范围。我们表明,从图像中提取的颜色信息与从皮肤光谱测量得出的颜色数据具有很好的相关性。我们还表明,可以在具有不同显色性和分辨率(从0.1到4.0兆像素)的相机之间始终测量肤色。

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