RESEARCH ON VOLUME SPLATTING FOR UNSTRUCTURED DATA SETS
For the volume rendering of unstructured data sets, traditional splatting approaches have two drawbacks. First, when the viewpoint and the viewing angle are changed, traditional splatting approaches require to recalculate the elliptical area on the image plane, which is the projection of 3D image produced by every data sample convolved with a reconstruction kernel. And every pixel in this area needs rotation transformation and scaling transformation. Second, traditional splatting approaches are applied to regular data sets, but unstructured data sets are irregular. So data organization and data index are required. In this paper we presented a new improved approach for volume splatting algorithm for unstructured data sets. The main idea of this approach is concluded as follows. On One hand, the whole data sets are partitioned into a series of subspaces, which are then projected to the image plane separately. This approach could not only provide high image quality, but also increase the algorithm efficiency. On the other hand, according to the shear-warp approach, we presented a splatting approach based on slide subspace, which can improve the performance of rendering for interactive operation (transition, circulation, cross section) in unstructured data sets.
Volume Rendering Splatting Unstructured Data Sets
He Bing Wang Yunbo
VRLab, Department of Computer Science and Engineering, Beijing University of Aeronautics and Astronautics, Beijing, 100083, China
国际会议
开封
英文
321-329
2006-10-15（万方平台首次上网日期，不代表论文的发表时间）