Title :
Volume illustration: nonphotorealistic rendering of volume models
Author :
Rheingans, Penny ; Ebert, David
Author_Institution :
Dept. of Comput. Sci. & Electr. Eng., Maryland Univ., Baltimore, MD, USA
Abstract :
Accurately and automatically conveying the structure of a volume model is a problem which has not been fully solved by existing volume rendering approaches. Physics-based volume rendering approaches create images which may match the appearance of translucent materials in nature but may not embody important structural details. Transfer function approaches allow flexible design of the volume appearance but generally require substantial hand-tuning for each new data set in order to be effective. We introduce the volume illustration approach, combining the familiarity of a physics-based illumination model with the ability to enhance important features using non-photorealistic rendering techniques. Since the features to be enhanced are defined on the basis of local volume characteristics rather than volume sample values, the application of volume illustration techniques requires less manual tuning than the design of a good transfer function. Volume illustration provides a flexible unified framework for enhancing the structural perception of volume models through the amplification of features and the addition of illumination effects
Keywords :
image enhancement; lighting; optical transfer function; rendering (computer graphics); solid modelling; feature amplification; flexible design; important feature enhancement; lighting models; local volume characteristics; manual tuning; nonphotorealistic rendering; physics-based illumination model; physics-based volume rendering; shading; structural details; structural perception; transfer functions; translucent materials; visualization; volume appearance; volume illustration; volume model structure; Art; Data visualization; Isosurfaces; Lighting; Manuals; Optical attenuators; Rendering (computer graphics); Solid modeling; Transfer functions; X-rays;
Journal_Title :
Visualization and Computer Graphics, IEEE Transactions on
DOI :
10.1109/2945.942693