Real-time previewing for volume visualization
VVS '94 Proceedings of the 1994 symposium on Volume visualization
Semi-automatic generation of transfer functions for direct volume rendering
VVS '98 Proceedings of the 1998 IEEE symposium on Volume visualization
Volume illustration: non-photorealistic rendering of volume models
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
Interactive Texture-Based Volume Rendering for Large Data Sets
IEEE Computer Graphics and Applications
Two-Level Volume Rendering-Fusing MIP and DVR
VISUALIZATION '00 Proceedings of the 11th IEEE Visualization 2000 Conference (VIS 2000)
Importance-Driven Volume Rendering
VIS '04 Proceedings of the conference on Visualization '04
Importance-Driven Feature Enhancement in Volume Visualization
IEEE Transactions on Visualization and Computer Graphics
Low-complexity maximum intensity projection
ACM Transactions on Graphics (TOG)
Illustrative context-preserving volume rendering
EUROVIS'05 Proceedings of the Seventh Joint Eurographics / IEEE VGTC conference on Visualization
Spatialized transfer functions
EUROVIS'05 Proceedings of the Seventh Joint Eurographics / IEEE VGTC conference on Visualization
LiveSync++: enhancements of an interaction metaphor
GI '08 Proceedings of graphics interface 2008
Feature-driven ambient occlusion for direct volume rendering
VG'10 Proceedings of the 8th IEEE/EG international conference on Volume Graphics
Instant volume visualization using maximum intensity difference accumulation
EuroVis'09 Proceedings of the 11th Eurographics / IEEE - VGTC conference on Visualization
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Classical direct volume rendering techniques accumulate color and opacity contributions using the standard volume rendering equation approximated by alpha blending. However, such standard rendering techniques, often also aiming at visual realism, are not always adequate for efficient data exploration, especially when large opaque areas are present in a dataset, since such areas can occlude important features and make them invisible. On the other hand, the use of highly transparent transfer functions allows viewing all the features at once, but often makes these features barely visible. In this paper we introduce a new, straightforward rendering technique called locally adaptive volume rendering, that consists in slightly modifying the traditional volume rendering equation in order to improve the visibility of the features, independently of any transfer function. Our approach is fully automatic and based only on an initial binary classification of empty areas. This classification is used to dynamically adjust the opacity of the contributions per-pixel depending on the number of non-empty contributions to that pixel. As will be shown by our comparative study with standard volume rendering, this makes our rendering method much more suitable for interactive data exploration at a low extra cost. Thereby, our method avoids feature visibility restrictions without relying on a transfer function and yet maintains a visual similarity with standard volume rendering.