Accelerated volume rendering and tomographic reconstruction using texture mapping hardware
VVS '94 Proceedings of the 1994 symposium on Volume visualization
A Model of Saliency-Based Visual Attention for Rapid Scene Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Pen-and-Ink rendering in volume visualisation
Proceedings of the conference on Visualization '00
High-quality pre-integrated volume rendering using hardware-accelerated pixel shading
Proceedings of the ACM SIGGRAPH/EUROGRAPHICS workshop on Graphics hardware
Hardware-accelerated parallel non-photorealistic volume rendering
NPAR '02 Proceedings of the 2nd international symposium on Non-photorealistic animation and rendering
Volume Graphics
Stylization and abstraction of photographs
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
Two-Level Volume Rendering-Fusing MIP and DVR
VISUALIZATION '00 Proceedings of the 11th IEEE Visualization 2000 Conference (VIS 2000)
Suggestive contours for conveying shape
ACM SIGGRAPH 2003 Papers
Accelerating Volume Reconstruction With 3D Texture Hardware
Accelerating Volume Reconstruction With 3D Texture Hardware
Visual interest and NPR: an evaluation and manifesto
Proceedings of the 3rd international symposium on Non-photorealistic animation and rendering
Importance-Driven Feature Enhancement in Volume Visualization
IEEE Transactions on Visualization and Computer Graphics
Line drawings from volume data
ACM SIGGRAPH 2005 Papers
High-Quality Two-Level Volume Rendering of Segmented Data Sets on Consumer Graphics Hardware
Proceedings of the 14th IEEE Visualization 2003 (VIS'03)
Saliency-guided Enhancement for Volume Visualization
IEEE Transactions on Visualization and Computer Graphics
ClearView: An Interactive Context Preserving Hotspot Visualization Technique
IEEE Transactions on Visualization and Computer Graphics
Visualization in Medicine: Theory, Algorithms, and Applications
Visualization in Medicine: Theory, Algorithms, and Applications
Highlight lines for conveying shape
Proceedings of the 5th international symposium on Non-photorealistic animation and rendering
Apparent ridges for line drawing
ACM SIGGRAPH 2007 papers
ACM SIGGRAPH 2008 papers
Improving search task performance using subtle gaze direction
Proceedings of the 5th symposium on Applied perception in graphics and visualization
Illustration-Inspired Depth Enhanced Volumetric Medical Visualization
IEEE Transactions on Visualization and Computer Graphics
How well do line drawings depict shape?
ACM SIGGRAPH 2009 papers
Investigating the effect of real-time stylisation techniques on user task performance
Proceedings of the 6th Symposium on Applied Perception in Graphics and Visualization
Directing gaze in 3D models with stylized focus
EGSR'06 Proceedings of the 17th Eurographics conference on Rendering Techniques
EuroVis'11 Proceedings of the 13th Eurographics / IEEE - VGTC conference on Visualization
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We present a system for interactive visualisation of 3D volumetric medical datasets combined with perceptual evaluation of how such visualisations can affect a user's interpretation of scenes and attention. Enhancements to traditional volume renderings are provided through a two-level volume rendering strategy which employs fast GPU-based direct volume rendering (DVR) coupled with an additional layer of perceptual cues derived from various techniques from the non-photorealistic rendering (NPR) literature. The two-level approach allows us to successfully separate the most relevant data from peripheral extraneous detail enabling the user to more effectively understand the visual information. Peripheral details are abstracted but sufficiently retained in order to provide spatial reference. We perform a number of perceptual user experiments which test how this approach affects a user's attention and ability to determine the shape of an object. Results indicate that our approach can provide a significant improvement in user perception of shape in complex visualisations, especially when a user has little or no prior knowledge of the data. Our approach would prove extremely useful in technical, medical or scientific visualisations to improve understanding of detailed volumetric datasets.