Display of Surfaces from Volume Data
IEEE Computer Graphics and Applications
Fractal views: a fractal-based method for controlling information display
ACM Transactions on Information Systems (TOIS)
A rendering algorithm for visualizing 3D scalar fields
SIGGRAPH '88 Proceedings of the 15th annual conference on Computer graphics and interactive techniques
V-buffer: visible volume rendering
SIGGRAPH '88 Proceedings of the 15th annual conference on Computer graphics and interactive techniques
SIGGRAPH '88 Proceedings of the 15th annual conference on Computer graphics and interactive techniques
Designing Pixel-Oriented Visualization Techniques: Theory and Applications
IEEE Transactions on Visualization and Computer Graphics
Animating multidimensional scaling to visualize N-dimensional data sets
INFOVIS '96 Proceedings of the 1996 IEEE Symposium on Information Visualization (INFOVIS '96)
Tree-Maps: a space-filling approach to the visualization of hierarchical information structures
VIS '91 Proceedings of the 2nd conference on Visualization '91
Hierarchical Data Visualization Using a Fast Rectangle-Packing Algorithm
IEEE Transactions on Visualization and Computer Graphics
Combining 2D and 3D views for orientation and relative position tasks
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Interactive Focus+Context Visualization with Linked 2D/3D Scatterplots
CMV '04 Proceedings of the Second International Conference on Coordinated & Multiple Views in Exploratory Visualization
IEEE Transactions on Visualization and Computer Graphics
An Overview of 3D Software Visualization
IEEE Transactions on Visualization and Computer Graphics
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Visualization of high-dimensional data is difficult to realize and manipulate with 2D display. For example, visualizing time-varying volume data (4D) with volume rendering and animation has spatial and temporal shielding, and data of 5 or more dimensions cannot be visualized on 2D display with existing methods. In this paper, we propose a method that expands high-dimensional data onto a 2D image plane. The proposed method uses the self-similarity of the fractal shape and achieves multi-scale high-dimensional data visualization on 2D display. With this method, we can visualize the entire domain of high-dimensional data without occlusions. Also, one-to-one correspondence in the elements of high-dimensional data and its 2D expansion enables us to manipulate high-dimensional data with 2D expanded result as an interface.