Computational geometry: an introduction
Computational geometry: an introduction
CHI '86 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Cone Trees: animated 3D visualizations of hierarchical information
CHI '91 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Tree visualization with tree-maps: 2-d space-filling approach
ACM Transactions on Graphics (TOG)
Using visual texture for information display
ACM Transactions on Graphics (TOG)
Intelligent multi-shot visualization interfaces for dynamic 3D worlds
IUI '99 Proceedings of the 4th international conference on Intelligent user interfaces
Readings in information visualization: using vision to think
Readings in information visualization: using vision to think
Large Datasets at a Glance: Combining Textures and Colors in Scientific Visualization
IEEE Transactions on Visualization and Computer Graphics
Assisted visualization of e-commerce auction agents
GRIN'01 No description on Graphics interface 2001
A rule-based tool for assisting colormap selection
VIS '95 Proceedings of the 6th conference on Visualization '95
VistaClara: an interactive visualization for exploratory analysis of DNA microarrays
Proceedings of the 2004 ACM symposium on Applied computing
Designing a Visualization Framework for Multidimensional Data
IEEE Computer Graphics and Applications
Palette hyperbolique: un outil pour interagir avec des ensembles de donneacute;es
IHM 2004 Proceedings of the 16th conference on Association Francophone d'Interaction Homme-Machine
Automatic camera navigation for time-variant objects
SIGGRAPH '05 ACM SIGGRAPH 2005 Posters
Visualizing metadata for environmental datasets
DCMI '10 Proceedings of the 2010 International Conference on Dublin Core and Metadata Applications
Active view optimization for viewing objects in motion
ISVC'05 Proceedings of the First international conference on Advances in Visual Computing
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This paper presents a new technique for visualizing large, complex collections of data. The size and dimensionality of these datasets make them challenging to display in an effective manner. The images must show the global structure of spatial relationships within the dataset, yet at the same time accurately represent the local detail of each data element being visualized. We propose combining ideas from information and scientific visualization together with a navigation assistant, a software system designed to help users identify and explore areas of interest within their data. The assistant locates data elements of potential importance to the user, clusters them into spatial regions, and builds underlying graph structures to connect the regions and the elements they contain. Graph traversal algorithms, constraint-based viewpoint construction, and intelligent camera planning techniques can then be used to design animated tours of these regions. In this way, the navigation assistant can help users to explore any of the areas of interest within their data. We conclude by demonstrating how our assistant is being used to visualize a multidimensional weather dataset.