基于CUDA的三维数据并行可视化
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摘要
科学计算可视化是发达国家20世纪80年代后期提出并发展起来的一个新的研究领域,它运用计算机图形学和图像处理技术,将三维数据转换为图形及图像在屏幕上显示出来并进行交互处理,主要包括面绘制和体绘制两种方法。光线投射算法是最经典的三维数据体绘制方法,图像质量较高,但计算时间较长,基于CUDA的编程技术利用GPU的多核并行运算功能可显著提高计算速度,实现大规模三维数据的实时可视化。
Visualization in scientific computing is a new field of study proposed and developed in developed countries in the 20th century and the late 80's. Using Computer Graphics and Image processing techniques,3D data can be converted to graphics or images displayed on screen for interactive processing. The main methods include surface visualization and volume rendering. Ray-casting algorithm is the most classical method of volume rendering methods about 3D data,which has higher image quality but longer calculation time. CUDA-based programming technique using the GPU hypercore parallel computing function,can significantly improve the calculation speed,and realize the real-time visualization of large-scale 3D data.
Visualization in scientific computing is a new field of study proposed and developed in developed countries in the 20th century and the late 80's. Using Computer Graphics and Image processing techniques,3D data can be converted to graphics or images displayed on screen for interactive processing. The main methods include surface visualization and volume rendering. Ray-casting algorithm is the most classical method of volume rendering methods about 3D data,which has higher image quality but longer calculation time. CUDA-based programming technique using the GPU hypercore parallel computing function,can significantly improve the calculation speed,and realize the real-time visualization of large-scale 3D data.
引文
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[11]刘伟峰,唐先明,韩宝东,等.基于GPU计算的光线投射算法体绘制研究[C]//北京图像图形学学会.图像图形技术研究与应用2009:第四届图像图形技术与应用学术会议论文集,北京:中国传媒大学出版社,2009:272-277.Liu WF,Tang XM,Han BD,et al.Study on ray-casting-based volume rendering using GPU computing[C]//Beijing Institute of Image and Graphics.Study and Application of Image and Graphics Technology2009:Proceedings of the4th Image and Graphics Technology and Application Conference,Beijing:Communication University of China Press,2009:272-277.
[2]张二华,高林,马仁安,等.三维地震数据可视化原理及方法[J].CT理论与应用研究,2007,16(3):20-28.Zhang EH,Gao L,Ma RA,et al.Principles and implementation of visualization on3D seismic data volume[J].CT Theory and Applications,2007,16(3):20-28.
[3]吴井胜,鲍旭东.基于GPU通用计算的图像体绘制[J].生物医学工程研究,2008,27(3):175-178.Wu JS,Bao XD.Image volume rendering based on GPU computing[J].Journal of Biomedical Engineering Research,2008,27(3):175-178.
[4]张舒,褚艳利.GPU高性能运算之CUDA[M].北京:中国水利水电出版社,2009:10.
[5]孙薇薇.光线投射体绘制算法关键技术研究[D].天津:天津理工大学,2006.Sun WW.Research on key technique of ray casting volume rendering algorithm[D].Tianjin:Tianjin University of Technology,2006.
[6]李会欣.体视化技术光线投射算法研究[D].北京:北京科技大学,2006.Li HX.The study of ray casting algorithm in volume visualization[D].Beijing:University of Science and Technology Beijing,2006.
[7]Danskin J,Hanrahan P.Fast algorithms for volume ray tracing[C]//Proceedings of Workshop on Volume Visualization,United States:Association for Computing Machinery,1992:91-98.
[8]董现玲,江贵平,张煜.基于CUDA的快速光线投射法[J].北京生物医学工程,2010,29(2):125-129.Dong XL,Jiang GP,Zhang Y.Accelerated ray casting algorithm based on cuda[J].Beijing Biomedical Engineering,2010,29(2):125-129.
[9]Marsalek L,Hauber A,Slusallek P.High-speed volume ray casting with CUDA[C]//IEEE Symposium on Interactive Ray Tracing,2008:185.
[10]毕文元,陈志强,张丽,等.基于CUDA的三维重建过程实时可视化方法[J].CT理论与应用研究,2010,19(2):1-8.Bi WY,Chen ZQ,Zhang L,et al.Real-time visualize the3D reconstruction procedure using CUDA[J].CT Theory and Applications,2010,19(2):1-8.
[11]刘伟峰,唐先明,韩宝东,等.基于GPU计算的光线投射算法体绘制研究[C]//北京图像图形学学会.图像图形技术研究与应用2009:第四届图像图形技术与应用学术会议论文集,北京:中国传媒大学出版社,2009:272-277.Liu WF,Tang XM,Han BD,et al.Study on ray-casting-based volume rendering using GPU computing[C]//Beijing Institute of Image and Graphics.Study and Application of Image and Graphics Technology2009:Proceedings of the4th Image and Graphics Technology and Application Conference,Beijing:Communication University of China Press,2009:272-277.
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