A Parallel Adaptive Volume Rendering Algorithm Based on Information Entropy

摘要：

　　A parallel adaptive ray-casting volume rendering algorithm based on information entropy is presented in this paper,where information entropy is introduced to measure the distribution of physical features in a data field and accordingly guide an effective data sampling.The algorithm adopts a patch-wise adaptation: Different sampling rates are assigned to the data patches according to their information entropies while uniform sampling is employed within each data patch.A composing method is designed subsequently for non-uniform sampling points on each ray.The experiments show that compared with the uniform rendering algorithm,the presented adaptive rendering algorithm can achieve a rendering speedup ratio of 1.4~2.1 in a distributed-memory environment.

关键词： Adaptive sampling Information entropy Parallel volume rendering Ray casting

作者: Huawei Wang Yi Cao Li Xiao Guoqing Wu

作者单位: Institute of Applied Physics and Computational Mathematics,Beijing,China

会议类型: 国际会议

会议名称: 2013中国虚拟现实大会暨ICVRV2013

会议地点: 西安

会议语种:英文

页码: 127-131

在线出版日期: 2013-09-14（万方平台首次上网日期，不代表论文的发表时间）