Paper Info
Title
Interactive classification for pre-integrated volume rendering of high-precision volume data
Abstract
The pre-integrated volume rendering technique is widely used for creating high quality images. It produces good images even though the transfer function is nonlinear. Because the size of the pre-integration lookup table is proportional to the square of data precision, the required storage and computation load steeply increase for rendering of high-precision volume data. In this paper, we propose a method that approximates the pre-integration function proportional to the data precision. Using the arithmetic mean instead of the geometric mean and storing opacity instead of extinction density, this technique reduces the size and the update time of the pre-integration lookup table so that it classifies high-precision volume data interactively. We demonstrate performance gains for typical renderings of volume datasets.
Year
DOI
Venue
2008
10.1016/j.gmod.2008.05.001
Graphical Models
Keywords
Field
DocType
typical rendering,data precision,high-precision volume data,pre-integrated volume rendering technique,pre-integration function,transfer function,high-precision volume data interactively,geometric mean,interactive classification,pre-integration lookup table,opacity approximation,pre-integrated volume rendering,pre-integrated lookup table,volume datasets,arithmetic mean,lookup table,volume rendering
Computer vision,Lookup table,Volume rendering,Computer science,Computer data storage,Arithmetic mean,Image quality,Algorithm,Artificial intelligence,Rendering (computer graphics),Computer graphics,Geometric mean
Journal
Volume
Issue
ISSN
70
6
Graphical Models
Citations 
PageRank 
References 
7
0.49
13
Authors
3
Name
Order
Citations
PageRank
Heewon Kye1266.08
Byeong-Seok Shin213229.65
Yeong Gil Shin315323.00