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Journal of Visualization

, Volume 17, Issue 3, pp 167–179 | Cite as

Efficient quadratic reconstruction and visualization of tetrahedral volume datasets

  • Xin Li
  • Wei-feng Chen
  • Yu-bo Tao
  • Zhiyu Ding
Regular Paper

Abstract

Most volume rendering algorithms for tetrahedral datasets employ linear reconstruction kernels, resulting in quality loss if the data contain fine features of high orders. In this paper, we present an efficient approach to reconstruct and visualize 3D tetrahedral datasets with a quadratic reconstruction scheme. To leverage a quadratic kernel in each tetrahedron, additional nodes with weighting functions are first constructed in the tetrahedron. The integration of quadratic kernels along a ray in a tetrahedron is efficiently accomplished by means of a pre-computation scheme, making the accumulation of optical contributions very fast. Our approach is compatible with both object-space (projected tetrahedra) and image-space (ray casting) volume rendering methods. Experimental results demonstrate that our approach can efficiently achieve volume visualization with more subtle details, and preserve higher accuracy where needed compared with conventional approaches with linear kernels.

Graphical Abstract

Keywords

Volume rendering Quadratic reconstruction Kernel Quadratic interpolation Partial pre-integration 

Notes

Acknowledgments

Supported by National High Technology Research and Development Program of China (2012AA12090), Major Program of National Natural Science Foundation of China (61232012), National Natural Science Foundation of China (81172124).

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Copyright information

© The Visualization Society of Japan 2014

Authors and Affiliations

  1. 1.State Key Lab of CAD&CGZhejiang UniversityHangzhouChina
  2. 2.China University of PetroleumQingdaoChina
  3. 3.Zhejiang University of Finance and EconomicsHangzhouChina

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