Paper Info
Title
Transparent visualization of large-scale and complex polygon meshes using a stochastic point-based rendering method.
Abstract
Efficient and reliable transparent visualization of large and complex surface data is important in many applications, including the visualization of medical data. Among the many methods, depth-peeling is an efficient solution for rendering polygon meshes transparently; however, the computational cost is related to the number of passes through the peeled geometry. Therefore, the depth-peeling method cannot efficiently render large and complex polygon meshes that require many passes through the geometry. In this paper, we solve this problem using a stochastic point-based rendering (SPBR) method. We use two types of large-scale and complex polygon meshes that have 5,744,376 and 4,800,644 triangles in the experiments. The rendering speed of our method is 3-5 times faster than that of the depth-peeling method for an image resolution of 512 × 512. Additionally, the SPBR method has an inherent visual effect: the outlines of target polygon meshes can be automatically enhanced. This makes the results of the SPBR method more vivid and comprehensible than those of the depth-peeling method.
Year
DOI
Venue
2015
10.1145/2818517.2818528
SIGGRAPH Asia Visualization in High Performance Computing
Field
DocType
Citations 
Polygon,Polygon mesh,Computer graphics (images),Computer science,Visualization,Volume mesh,Rendering (computer graphics),Image resolution,Static mesh,Complex polygon
Conference
1
PageRank 
References 
Authors
0.36
2
7
Name
Order
Citations
PageRank
Rui Xu1234.30
Satoshi Tanaka26120.61
Kyoko Hasegawa31110.66
Wang Sheng410.36
Tomoko Tateyama55010.67
Yen-Wei Chen6720155.73
Shoji Kido710.36