A GPU-based framework of photometric uniformity for multi-projector tiled display

Guodong Yuan, K. Qin
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引用次数: 1

Abstract

In this paper, we firstly propose a partial-sampling scheme to measure the intensity transfer function of a projector. Secondly, we implement the computation of luminance surface by rendering a texture rectangle on GPU. Thirdly, we generate an unified index data for all projectors. And then we compute the masks of photometric correction using a GPU based on topological consistency. Finally we integrate the masks with a GPU-based photometric correction pipeline to achieve the photometric uniformity for multi-projector display. The GPU-based framework is a combination of the GPU-based computation and the GPU-based photometric correction pipeline, which removes the bottleneck of the computation of luminance surface, attenuation mask and black offset mask. It is shown by experimental results prove that the GPU-based framework is effective and efficient.
基于gpu的多投影机平铺显示光度均匀性框架
本文首先提出了一种局部采样方案来测量投影仪的强度传递函数。其次,通过在GPU上渲染纹理矩形来实现亮度曲面的计算。第三,为所有投影仪生成统一的指标数据。然后利用基于拓扑一致性的图形处理器计算光度校正掩模。最后,将掩模与基于gpu的光度校正流水线相结合,实现了多投影机显示的光度均匀性。基于gpu的框架是基于gpu的计算和基于gpu的光度校正管道的结合,消除了亮度面、衰减掩模和黑色偏移掩模的计算瓶颈。实验结果表明,基于gpu的框架是有效的、高效的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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