最“稳定”颜色表示：RGB？ HSV？ CIELAB呢？ [英] Most "stable" color representation : RGB? HSV? CIELAB?

问题描述

在计算机科学中有几种颜色表示：标准的RGB，还有HSV，HSL，CIE XYZ，YCC，CIELAB，CIELUV，...在我看来，大多数时候，这些表示试图逼近人类视觉（颜色感觉上相同应该有类似的表示）

There are several color representations in computer science : the standard RGB, but also HSV, HSL, CIE XYZ, YCC, CIELAB, CIELUV, ... It seems to me that most of the times, these representation try to approximate human vision (colors perceptually identical should have similar representations)

但是我想知道的是哪个表示是最稳定的。我有一个对象，让我们说一瓶可口可乐，我有成千上万的这个瓶子的照片，在不同的情况下拍摄（主要的区别是如何明亮或黑暗的图片是，但有方向，等... ）

But what I want to know is which representation is the most "stable" when it comes to pictures. I have an object, let's say a bottle of Coke, and I have thousands of pictures of this bottle, taken under very different circumstances (the main difference would be the how light or dark the picture is, but there's orientation, etc...)

我的问题是：什么颜色表示会凭经验给我最稳定的瓶子颜色表示？标签的红色颜色不应该太大。好吧，我知道它会变化，但我想知道最稳定的表示。

My question is : what color representation will empirically give me the most stable representation of the colors of the bottle? The "red" color of the label should not vary too much. Well, I'll know it will vary, but I would like to know the most "stable" representation.

我被教导说HSV比RGB更好

I've been taught that HSV is better than RGB for these kind of things, but I have no clue for the rest.

编辑（技术细节）：我选择一个特定的点的瓶子。我选择这一点的一千张图片中的相应像素。我现在有一个点云，这取决于表示。我想要最小化这个云的大小的表示，例如最小化云的点到它的重心的平均距离的表示。

Edit (technical details) : I take a particular point of the bottle. I pick the corresponding pixels in a thousand pictures of this point. I now have a cloud of points, that depend on the representation. I want the representation that minimizes the "size" of this cloud, for example the one that minimizes the mean distance of the points of the cloud to its barycenter.

推荐答案

您可能想查看 http：//www.cs.harvard .edu /〜sjg / papers / cspace.pdf ，它提出了一个新的色彩空间，显然是为了解决这个精确的问题。

You might want to check out http://www.cs.harvard.edu/~sjg/papers/cspace.pdf, which proposes a new colorspace apparently designed to address this precise question.

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