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Color consistency for digital multi-projector stereo display systems

机译:数字多投影机立体声显示系统的色彩一致性

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Digital projectors have a significant advantage over CRTs for IPT setups: brightness. But they also have a number of disadvantages, one of which is color consistency. This problem is exacerbated when using the Infitec method for stereo separation, which in itself has some strong advantages for CAVE and tiled wall setups. In this paper we will describe a method for color and brightness correction of multi-projector display systems. The method itself is used in two new projection systems, which are currently under construction at Fraunhofer-IGD: The HEyewall and the Digital CAVE. The HEyeWall is the first stereo capable tiled display worldwide. The Digital CAVE is the first CAVE with digital projectors and stereo separation based on Infotec(tm). In this paper we present these new IPTs in more detail and also present our experience with digital projectors.To calibrate all the involved projectors photometric measurements of the different projectors are used to calculate a common gamut in a linear colorspace. Input colors are mapped into this gamut and from there mapped into the individual projector's colorspace. This method allows to adjust the rendering output of two or more projectors with different color gamuts in such a way that the projected images are photometrically calibrated. Since the correction has to be done for each pixel, a straightforward implementation would be very slow and far away from realtime. Consequently we will outline a method how to improve performance and overcome this limitation.
机译:对于IPT设置,数字投影仪具有比CRT显着的优势:亮度。但是它们也有许多缺点,其中之一是颜色一致性。当使用Infitec方法进行立体声分离时,此问题会更加严重,这对于CAVE和平铺墙设置本身具有一些强大的优势。在本文中,我们将介绍一种用于多投影仪显示系统的颜色和亮度校正的方法。该方法本身已在Fraunhofer-IGD目前正在建设的两个新的投影系统中使用:HEyewall和Digital CAVE。 HEyeWall是全球首款具有立体声功能的瓷砖显示器。 Digital CAVE是第一个基于Infotec(tm)的具有数字投影仪和立体声分离功能的CAVE。在本文中,我们将更详细地介绍这些新IPT,并介绍我们在数字投影仪方面的经验。为了校准所有涉及的投影仪,使用了不同投影仪的光度测量来计算线性色空间中的通用色域。输入颜色映射到此色域中,然后从那里映射到单个投影机的色空间中。这种方法可以调整两个或更多具有不同色域的投影仪的渲染输出,从而对投影图像进行光度校准。由于必须对每个像素进行校正,因此简单的实现将非常缓慢并且与实时性相距甚远。因此,我们将概述一种如何提高性能并克服此限制的方法。

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