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Hybrid Silhouette Detection for Real-Time Shadow Volume

机译:实时阴影体积的混合轮廓检测

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摘要

In shadow volume, the most expensive computation is silhouette detection. In this paper, the triangular algorithm (TA) and visible-non-visible (VnV) algorithm that are famous algorithms to detect the outline of occluder are renewed. In this paper, we proposed a hybrid algorithm based on TA and VnV, namely Hybrid Silhouette Detection (HSD) algorithm. HSD is an improved algorithm that can recognize silhouette for generating real-time shadow volume. Our algorithm involves detecting silhouette and decreases the cost of implementation for shadow volume rendering. The last shadow volume algorithm using stencil buffer is rewritten and an algorithm for shadow volume using HSD with respect of culling invisible parts of scene is proposed. An accurate mathematical comparison between TA, VnV and HSD algorithms is undertaken. The obtained results confirm superiority of our proposed algorithm in terms of processing and rendering time. Our algorithm can be used in virtual environment to increase the frame per second and to enhance the realistic of games programming.
机译:在阴影量中,最昂贵的计算是轮廓检测。本文对三角算法(TA)和可见-不可见(VnV)算法进行了更新,这些算法是检测遮挡物轮廓的著名算法。本文提出了一种基于TA和VnV的混合算法,即混合轮廓检测(HSD)算法。 HSD是一种改进的算法,可以识别轮廓以生成实时阴影量。我们的算法涉及检测轮廓并降低阴影体积渲染的实现成本。重写了最后一种使用模板缓冲区的阴影体积算法,并提出了使用HSD剔除场景的不可见部分的阴影体积算法。在TA,VnV和HSD算法之间进行了精确的数学比较。获得的结果证实了我们提出的算法在处理和渲染时间方面的优越性。我们的算法可以在虚拟环境中使用,以增加每秒帧数并增强游戏编程的逼真度。

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