CHI '86 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Proceedings of the 25th annual conference on Computer graphics and interactive techniques
Volume Illustration: Nonphotorealistic Rendering of Volume Models
IEEE Transactions on Visualization and Computer Graphics
Using Motion to Illustrate Static 3D Shape- Kinetic Visualization
IEEE Transactions on Visualization and Computer Graphics
Multiblending: displaying overlapping windows simultaneously without the drawbacks of alpha blending
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
On the Role of Color in the Perception of Motion in Animated Visualizations
VIS '04 Proceedings of the conference on Visualization '04
Importance-Driven Feature Enhancement in Volume Visualization
IEEE Transactions on Visualization and Computer Graphics
Morphological Image Compositing
IEEE Transactions on Pattern Analysis and Machine Intelligence
Understanding Phenomenal Consciousness
Understanding Phenomenal Consciousness
Fusing features in direct volume rendered images
ISVC'06 Proceedings of the Second international conference on Advances in Visual Computing - Volume Part I
Interactive clipping techniques for texture-based volume visualization and volume shading
IEEE Transactions on Visualization and Computer Graphics
A level-set approach to image blending
IEEE Transactions on Image Processing
| Hi-index | 0.00 |
In this paper, we present some novel animation techniques to help users understand complex structures contained in volumetric data from the medical imaging and scientific simulation fields. Because of the occlusion of 3D objects, these complex structures and their 3D relationships usually cannot be revealed using one image. By our animation techniques, the focus regions, the context regions, and their relationships can be better visualized at the different stages of an animation. We propose an image-centric method which employs layered-depth images (LDIs) to get correct depth cues, and a data-centric method which exploits a novel transfer function fusing technique to guarantee the smooth transition between frames. The experimental results on real volume data demonstrate the advantages of our techniques over traditional image blending and transfer function interpolation methods.