计算机工程与应用 ›› 2011, Vol. 47 ›› Issue (36): 38-40.
• 博士论坛 • 上一篇 下一篇
秦红星
收稿日期:
修回日期:
出版日期:
发布日期:
QIN Hongxing
Received:
Revised:
Online:
Published:
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
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
秦红星. 体数据的多尺度张量表达与可视化[J]. 计算机工程与应用, 2011, 47(36): 38-40.
QIN Hongxing. Volume data expression and visualization based on multi-scale tensor approximation[J]. Computer Engineering and Applications, 2011, 47(36): 38-40.
0 / 推荐
导出引用管理器 EndNote|Ris|BibTeX
链接本文: http://cea.ceaj.org/CN/
http://cea.ceaj.org/CN/Y2011/V47/I36/38
