基于预计算切片序列的动态体绘制技术
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摘要
为进一步提高基于硬件加速的体绘制技术的渲染性能,解决海量体绘制应用中体数据可视化环节的性能瓶颈,文中提出了一种基于硬件加速的实时切片体绘制技术的优化模型。相对于完全基于实时切片的体绘制系统,应用该技术在保证最终图像渲染质量的同时可节省动态判断切片方程的计算开销并大幅降低运行时的数据带宽需求。基于预计算的动态体绘制在切片方向选择空间中选取一组彼此正交的切片方案,并在预处理阶段生成切片几何数据,运行时根据视点位置通过特定判断算法进行方案选择。对基于分块的海量数据体绘制系统,该技术可有效降低海量体绘制的总体带宽消耗,从而进一步拓展系统的渲染规模。
To improve the rendering performance and solve the major bottoleneck of the mass-data volume rendering system a new slice based hardware acelerated volume rendering technique is given in this paper.Comparing with the common real time slicing technique,the new version can decrease the CPU cost as well as the runtime data bandwidth which is critical to the volume rendering system.The new technique generates a set of slicing data on the initialization stage and when the volume needs to be rendered the system just chooses an appropriate one from the precomputed slicing data.For mass-data volume rendering system,the technique can dramatically decrease the bandwidth requirement and so that larger dataset can be rendered.
To improve the rendering performance and solve the major bottoleneck of the mass-data volume rendering system a new slice based hardware acelerated volume rendering technique is given in this paper.Comparing with the common real time slicing technique,the new version can decrease the CPU cost as well as the runtime data bandwidth which is critical to the volume rendering system.The new technique generates a set of slicing data on the initialization stage and when the volume needs to be rendered the system just chooses an appropriate one from the precomputed slicing data.For mass-data volume rendering system,the technique can dramatically decrease the bandwidth requirement and so that larger dataset can be rendered.
引文
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[2]Lamar E,Hamann B,Joy K I.Multiresolution techniques forinteractive hardware texture-based volume visualization[C]//Proceedings of IEEE Visualization.Los Angeles,Cali-fornia:[s.n.],1999:355-361.
[3]Gobbetti E,Marton F,Antonio J.A single pass GPU raycasting framework for interactive out-of-core rendering ofmassive volumetric datasets[J].Vis Comput,2008,24(7):797-806.
[4]Lefebvre S,Dachsbacher C.Tiletrees[C]//Proceedings ofSIGGRAPH.San Diego,California:[s.n.],2007:25-31.
[5]马仁安,张二华,杨静宇.不规则地质体的分割与体绘制方法研究[J].计算机研究与发展,2005,42(5):883-887.
[6]曹轶,莫则尧,王弘.协同分布式图形硬件的混合并行体绘制[J].中国图像图形学报,2008,13(7):1379-1384.
[7]Gobbetti E,Marton F.Far voxels:a multiresolution frame-work for interactive rendeirng of huge complex 3d models oncommodity graphics platforms[C]//Proceedings of SIG-GRAPH.Los Angeles,California:[s.n.],2005:878-885.
[8]Crril C,Fabrice N,Sylvain L.GigaVoxels:ray-guidedstreaming for efficient and detailed voxel rendering[C]//Pro-ceedings of the symposium on Interactive 3D graphics andgames.Boston,Massachusetts:[s.n.],2009:15-22.
[9]薛健,田捷,戴亚康.海量医学数据处理框架及快速提绘制算法[J].Journal of Software,2008,19(12):3237-3248.
[10]肖永飞,付宜利,王国树.硬件加速的大数据量自适应体绘制[J].计算机辅助设计与图形学学报,2009,21(5):612-616.
[11]宋涛,欧宗瑛,王瑜.八叉树编码体数据的快速体绘制算法[J].计算机辅助设计与图形学学报,2005,17(9):1990-1996.
[12]马晓晨,孔小利,陈建军.一种大规模三维地震数据体绘制的LOD技术[J].大庆石油学院学报,2008,32(4):23-26.
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