Perceptual colors and textures for scientific visualization

Perceptual colors and textures for scientific visualization (1998)

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by Christopher G. Healey

Venue:	In Applications of Visual Perception in Computer Graphics
Citations:	5 - 1 self

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Datum	Value	Source
TITLE	Perceptual colors and textures for scientific visualization	INFERENCE
AUTHOR NAME	Christopher G. Healey	SVM HeaderParse 0.2
AUTHOR AFFIL	University of California, Berkeley	SVM HeaderParse 0.2
ABSTRACT	This talk describes our investigation of methods for choosing color, texture, orientation, shape, and other features to visualize certain types of large, multidimensional datasets. These datasets are becoming more and more common; examples include scientific simulation results, geographic information systems, satellite images, and biomedical scans. The overwhelming amount of information contained in these datasets makes them difficult to analyze using traditional mathematical or statistical techniques. It also makes them difficult to visualize in an efficient or useful manner. The size of a dataset can be divided into three separate characteristics: the number of elements in the dataset, the number of attributes or dimensions embedded in each element, and the range of values possible for each attribute. All three characteristics may need to be considered during visualization. Many of our techniques make explicit use of the way viewers perceive information in an image. Our visualization systems display data in a manner that takes advantage of the low-level human visual system. Offloading the majority of the analysis task on the low-level visual system allows users to perform exploratory visualization very rapidly and accurately on large multidimensional datasets. Trends and relationships, unexpected patterns or results, and other areas of interest can be quickly identified within the dataset. These data subsets can then be further visualized or analyzed as required. Preattentive Processing	SVM HeaderParse 0.2
YEAR	1998	INFERENCE
VENUE	In Applications of Visual Perception in Computer Graphics	INFERENCE
VENUE TYPE	CONFERENCE	INFERENCE
PAGES	205--224	INFERENCE
CITATIONS	5 found	ParsCit 1.0