移动图形的网格几何压缩

Jongseo Lee, Sungyul Choe, Seungyong Lee
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引用次数: 9

摘要

本文提出了一种适用于移动图形的网格几何压缩方案。主要的焦点是在提供合理的压缩比的同时实现压缩顶点位置的实时解码。我们的方案是基于局部量化的顶点位置与网格划分。为了防止沿分区边界的视觉接缝,我们将所有网格分区的局部量化单元约束为具有相同大小和对齐的局部轴。我们提出了一种网格划分算法,以最小化局部量化单元的大小,这涉及到恢复网格的失真。顶点坐标存储在主存储器中,并以量化形式传输到图形硬件进行渲染,节省了内存空间和系统总线带宽。解码操作与模型几何变换相结合,恢复顶点位置的唯一开销是对每个网格分区进行一次矩阵乘法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mesh Geometry Compression for Mobile Graphics
This paper presents a compression scheme for mesh geometry, which is suitable for mobile graphics. The main focus is to enable real-time decoding of compressed vertex positions while providing reasonable compression ratios. Our scheme is based on local quantization of vertex positions with mesh partitioning. To prevent visual seams along the partitioning boundaries, we constrain the locally quantized cells of all mesh partitions to have the same size and aligned local axes. We propose a mesh partitioning algorithm to minimize the size of locally quantized cells, which relates to the distortion of a restored mesh. Vertex coordinates are stored in main memory and transmitted to graphics hardware for rendering in the quantized form, saving memory space and system bus bandwidth. Decoding operation is combined with model geometry transformation, and the only overhead to restore vertex positions is one matrix multiplication for each mesh partition.
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