Waltz - An exploratory visualization tool for volume data, using multiform abstract displays

Roberts, Jonathan C. (1998) Waltz - An exploratory visualization tool for volume data, using multiform abstract displays. In: Erbacher, Robert F. and Pang, Alex, eds. Visual Data Exploration and Analysis V, Proceedings of SPIE. Proceedings of the Society of Photo-Optical Instrumentation Engineers (SPIE), 3298. SPIE -Int Soc Optical Engineering, Bellingham, WA USA , Bellingham, Washington, USA pp. 112-122. ISBN 0-8194-2738-1. (Full text available)

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Abstract

Although, visualization is now widely used, misinterpretations still occur. There are three primary solutions intended to aid a user interpret data correctly. These are: displaying the data in different forms (Multiform visualization); simplifying (or abstracting) the structure of the viewed information; and linking objects and views together (allowing corresponding objects to be jointly manipulated and interrogated). These well-known visualization techniques, provide an emphasis towards the visualization display. We believe however that current visualization systems do not effectively utilise the display, for example, often placing it at the end of a long visualization process. Our visualization system, based on an adapted visualization model, allows a display method to be used throughout the visualization process, in which the user operates a 'Display (correlate) and Refine' visualization cycle. This display integration provides a useful exploration environment, where objects and Views may be directly manipulated; a set of 'portions of interest' can be selected to generate a specialized dataset. This may subsequently be further displayed, manipulated and filtered.

Item Type: Conference or workshop item (Paper)
Additional information: Proceedings paper
Uncontrolled keywords: visualization; visualization system; multiform; manipulation; abstraction
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 75 Electronic computers. Computer science
Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming,
T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK8300 Optoelectronic devices
Divisions: Faculties > Science Technology and Medical Studies > School of Computing
Depositing User: Tara Puri
Date Deposited: 04 Jul 2009 15:53
Last Modified: 24 Jun 2014 10:28
Resource URI: http://kar.kent.ac.uk/id/eprint/17049 (The current URI for this page, for reference purposes)
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