Display of Surfaces from Volume Data
IEEE Computer Graphics and Applications
Fast volume rendering using a shear-warp factorization of the viewing transformation
SIGGRAPH '94 Proceedings of the 21st annual conference on Computer graphics and interactive techniques
SIGGRAPH '85 Proceedings of the 12th annual conference on Computer graphics and interactive techniques
Confessions of a visualization skeptic
ACM SIGGRAPH Computer Graphics
Volume illustration: non-photorealistic rendering of volume models
Proceedings of the conference on Visualization '00
The transfer function bake-off (panel session)
Proceedings of the conference on Visualization '00
A rendering algorithm for visualizing 3D scalar fields
SIGGRAPH '88 Proceedings of the 15th annual conference on Computer graphics and interactive techniques
High-quality pre-integrated volume rendering using hardware-accelerated pixel shading
Proceedings of the ACM SIGGRAPH/EUROGRAPHICS workshop on Graphics hardware
Optical Models for Direct Volume Rendering
IEEE Transactions on Visualization and Computer Graphics
Conveying the 3D Shape of Smoothly Curving Transparent Surfaces via Texture
IEEE Transactions on Visualization and Computer Graphics
SIGGRAPH '84 Proceedings of the 11th annual conference on Computer graphics and interactive techniques
Enhancing Depth Perception in Translucent Volumes
IEEE Transactions on Visualization and Computer Graphics
Interactive 3d visualization of a single-view X-ray image
MICCAI'11 Proceedings of the 14th international conference on Medical image computing and computer-assisted intervention - Volume Part I
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The display of space filling data is still a challenge for the community of visualization. Direct Volume Rendering (DVR) is one of the most important techniques developed to achieve direct perception of such volumetric data. It is based on semi-transparent representations, where the data are accumulated in a depth-dependent order. However, it produces images that may be difficult to understand, and thus several techniques have been proposed so as to improve its effectiveness, using for instance lighting models or simpler representations (e.g. Maximum Intensity Projection). In this paper we present two perceptual studies that question how DVR meets its goals, in either static or dynamic context. We show that a static representation is highly ambiguous, even in simple cases, but this can be counterbalanced by use of dynamic cues, i.e. motion parallax, provided that the rendering parameters are correctly tuned.