面向立体显示的点采样栅格优化策略及其性能分析

Points sampling optimization strategy and performance analysis for a true 3D display system

针对一般笛卡尔采样数据量大的局限性,提出了基于体心立方(body-center cubic,BCC)栅格的点采样方法,给出了采样矩阵的定义,分析了BCC格型的空间排布优势,设计了基于体心立方的优化采样策略,包括栅格的划分、物理空间和采样空间的坐标映射,采样密度和采样矩阵计算.将该方法与一般笛卡尔栅格进行了性能分析和比较.实验结果表明,BCC栅格采样比一般笛卡尔栅格减少30%的体数据量,加快了立体数据的预处理速度,并在立体显示中取得了较好的视觉效果.

Point Sampling is an important process in true volumetric 3D display. A new method based on body-centre cubic （BCC） lattice were developed, to solve huge voxel data by using a Cartesian lattice, A samphng matrix was defined, and the closed packed of BCC lattice in volume was discussed in detail, so the sampling strategy based on BCC was given, including division of the lattice, coordinate mapping, sampling density＇s computing and implement of the sampling matrix, We have chosen the Cartesian lattice as a benchmark for our comparisons. The results of experiments showed that a 30% reduced volume dataset was obtained by BCC lattice, and faster volume data preprocessing and better visual experience was apparent.