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Memory and processing architecture for 3D voxel-based imagery

机译:基于3D体素的图像的内存和处理架构

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A versatile voxel-based architecture for 3-D volume visualization, called the Cube architecture, is introduced. A small-scale prototype of the architecture has been realized in hardware and has been operating in true real-time, faster than the alternative voxel systems. The Cube architecture is centered around a 3-D cubic frame buffer, of voxels, and it entertains three processors that access the frame buffer to input sampled and synthetic data, to manipulate the 3-D images, and to project and render them. To cope with the huge quantity of voxels and still perform in real-time, two special features were incorporated within the architecture: a unique skewed memory organization, which permits the retrieval and storage of voxels in parallel, and a multiple-write bus, which speeds up the viewing process. These features allow Cube, for example, to project an image of n/sup 3/ voxels in O(n/sup 2/ log n) time rather than the conventional O(n/sup 3/) time.
机译:介绍了一种用于3D体积可视化的通用体素架构,称为Cube架构。该体系结构的小型原型已在硬件中实现,并且比替代的体素系统更快地实现了真正的实时运行。多维数据集体系结构以3D立体像素三维帧缓冲区为中心,它包含三个处理器,这些处理器访问帧缓冲区以输入采样和合成数据,操纵3-D图像以及对其进行投影和渲染。为了处理大量体素并仍实时执行,该体系结构中包含了两个特殊功能:一个独特的偏斜存储组织,它允许并行检索和存储体素;以及一个多重写入总线,该总线加快观看过程。例如,这些功能允许多维数据集以O(n / sup 2 / log n)时间而不是传统的O(n / sup 3 /)时间投影n / sup 3 /体素的图像。

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