Marching cubes: A high resolution 3D surface construction algorithm
SIGGRAPH '87 Proceedings of the 14th annual conference on Computer graphics and interactive techniques
Display of Surfaces from Volume Data
IEEE Computer Graphics and Applications
Comprehensible rendering of 3-D shapes
SIGGRAPH '90 Proceedings of the 17th annual conference on Computer graphics and interactive techniques
Painterly rendering for animation
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Mixing translucent polygons with volumes
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Volume Illustration: Nonphotorealistic Rendering of Volume Models
IEEE Transactions on Visualization and Computer Graphics
Enhancing Transparent Skin Surfaces with Ridge and Valley Lines
VIS '95 Proceedings of the 6th conference on Visualization '95
A Developer's Guide to Silhouette Algorithms for Polygonal Models
IEEE Computer Graphics and Applications
Nonphotorealistic Rendering of Medical Volume Data
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Proceedings of the 14th IEEE Visualization 2003 (VIS'03)
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Semantic Layers for Illustrative Volume Rendering
IEEE Transactions on Visualization and Computer Graphics
Enhancing Depth-Perception with Flexible Volumetric Halos
IEEE Transactions on Visualization and Computer Graphics
Technical Section: Real-time ambient occlusion and halos with Summed Area Tables
Computers and Graphics
Procedural image processing for visualization
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Interactive silhouette rendering for point-based models
SPBG'04 Proceedings of the First Eurographics conference on Point-Based Graphics
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GPU-based particle systems for illustrative volume rendering
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This paper presents a novel framework for illustrating surfaces in a volume. Surfaces are illustrated by drawing only feature lines, such as silhouettes, valleys, ridges, and surface hatching strokes, and are embedded in volume renderings. This framework promises effective illustration of both surfaces and volumes without occluding or cluttering each other. A two-step approach has been taken: the first step depicts surfaces; the second step performs volume rendering, at the same time embedding surfaces from the first step. We introduce Procedurally Perturbed Image Processing (PIP), a new method for enhancing both feature detection and depiction of surfaces. We also present implementation strategies, especially those leveraging modern graphics hardware, for delivering an interactive rendering system. Our implementation results have shown that this mixed form of rendering improves volume visualization and is efficient.