An Adaptive Sampling Based Parallel Volume Rendering Algorithm

摘要：

In this paper, a parallel ray-casting volume rendering algorithm based on adaptive sampling is presented for visualizing TB-scale time-varying scientific data. The algorithm samples a data field adaptively according to its inner variation, and thus sets sampling points only in important positions. In order to integrate adaptive sampling into the parallel rendering framework, an efficient method is proposed to handle the resulting unstructured sampling data. The experiments demonstrate that the proposed algorithm can be used to effectively render inner data features in high quality.

关键词： parallel volume rendering adaptive sampling ray casting

作者: Huawei Wang Li Xiao Yi Cao

作者单位: High Performance Computing Center Institute of Applied Physics and Computational Mathematics Beijing, China

会议类型: 国内会议

会议名称: 第十一届中国虚拟现实大会(ICVRV2011)

会议地点: 北京

会议语种:英文

页码: 1-6

在线出版日期: 2011-11-04（万方平台首次上网日期，不代表论文的发表时间）