Computer Engineering and Applications ›› 2011, Vol. 47 ›› Issue (36): 38-40.

• 博士论坛 • Previous Articles     Next Articles

Volume data expression and visualization based on multi-scale tensor approximation

QIN Hongxing   

  1. College of Computer Science and Technology,Chongqing University of Posts and Telecommunications,Chongqing 400065,China
  • Received:1900-01-01 Revised:1900-01-01 Online:2011-12-21 Published:2011-12-21



  1. 重庆邮电大学 计算机科学与技术学院,重庆 400065

Abstract: Real time volume visualization is supported by modern graphics hardware currently.However,with the development of scanning technology,the performance in GPU memory is still a bottleneck for large volume data visualization.Thus it is very important to find a compression method which can preserve volume feature.It is developed based on tensor approximation.The approach can be used for data compression based on multi-scale tensor approximation.At the same time,volume feature is preserved since compression base is extracted from data.The obtained results show that the approach is valid.

Key words: tensor approximation, multi-scale, volume data compression, volume visualization

摘要: 图形硬件的发展为实时体数据可视化提供了硬件保证,然而随着扫描技术的发展,大数据可视化仍然面临显存不足问题,因此研究保持数据特征的压缩表达方法就非常重要。应用张量近似思想建立了体数据的多尺度表达与可视化方法,一方面多尺度张量近似实现了数据压缩,解决了大数据的绘制问题;另一方面,张量近似的自适应压缩基保持了体数据的尺度特征。实验结果表明,该方法是有效的。

关键词: 张量近似, 多尺度, 体数据压缩, 体数据可视化