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Blending Luminance Uniformity Matrix: A New Robust Photometric Calibration in Multi-Projector Systems

机译:混合亮度均匀性矩阵:多投影系统中的一种新的鲁棒光度校准

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Large-scale displays as multi-projector systems are used in scientific visualization, virtual reality and other visually intensive applications. It always needs complicated photometric calibration in multi-projector systems. The most popular methods of photometric calibration can be generalized into two types: edge blending and LAM (luminance attenuation maps). Unfortunately, both these two methods have their drawbacks. In this paper, we provide a new method which combines the blending with luminance attenuation by slightly reducing the area of luminance attenuation in overlapped region, which efficiently solves the problem of "luminance inconsistency in the edge of overlapped region" in LAM and the problem of "un-global luminance uniformity" in blending. In addition, instead of finding the minimum common luminance value in the photometric calibration, we just find a more suitable common luminance value which can well solve the dim problem in camera-based photometric uniformity of prior approaches. Moreover, the process of photometric calibration on multi-projecting system will be no more complicated than before. The method is robust and accurate, and can be implemented with commercial off-the-shelf components.
机译:作为多投影系统的大型显示器用于科学可视化,虚拟现实和其他视觉密集型应用。它始终需要在多投影系统系统中复杂的光度校准。最流行的光度校准方法可以推广成两种类型:边缘混合和LAM(亮度衰减图)。不幸的是,这两种方法都有他们的缺点。在本文中,我们提供了一种新方法,其通过略微减少重叠区域中的亮度衰减面积来结合亮度衰减的混合,这有效地解决了LIM中“重叠区域边缘边缘中的亮度不一致”的问题。混合中的“不全球亮度均匀性”。另外,除了在光度校准中找到最小的常见亮度值,我们只需找到更合适的常见亮度值,该值可以很好地解决现有方法的相机的光度均匀性。此外,多投影系统上的光度校准过程将不比以前更复杂。该方法具有坚固且准确,并且可以用商业现成部件实现。

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