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Texture Resampling While Ray-Tracing: Approximating the Convolution Region Using Caching

机译:射线追踪时的纹理重采样:使用缓存逼近卷积区域

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摘要

We present a cache-based approach to handling the difficult problem of performing visually acceptable texture resampling/filtering while ray-tracing. While many good methods have been proposed to handle the error introduced by the ray-tracing algorithm when sampling in screen space, handling this error in texture space has been less adequately addressed. Our solution is to introduce the Convolution Mask Approximation Module (CMAM). The CMAM locally approximates the convolution region in texture space as a set of overlapping texture triangles by using a texture sample caching system and ray tagging. Since the caching mechanism is hidden within the CMAM, the ray-tracing algorithm itself is unchanged while achieving an adequate level of texture filtering (area sampling as opposed to point sampling/interpolation in texture space). The CMAM is easily adapted to incorporate prefiltering methods such as MIP mapping and summed-area tables as well as direct convolution methods such as elliptical weighted average filtering.
机译:我们提出一种基于缓存的方法来处理在光线跟踪时执行视觉上可接受的纹理重采样/过滤的难题。虽然已经提出了许多好的方法来处理在屏幕空间中采样时由光线跟踪算法引入的错误,但是在纹理空间中处理此错误的方法却没有得到充分解决。我们的解决方案是引入卷积掩码近似模块(CMAM)。 CMAM通过使用纹理样本缓存系统和光线标记,将纹理空间中的卷积区域局部地近似为一组重叠的纹理三角形。由于缓存机制隐藏在CMAM中,因此光线跟踪算法本身不会发生变化,同时可以实现足够水平的纹理过滤(与纹理空间中的点采样/插值相反的区域采样)。 CMAM易于合并预过滤方法(例如MIP映射和求和面积表)以及直接卷积方法(例如椭圆加权平均过滤)。

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