Formalizing Artistic Techniques and Scientific Visualization for Painted Renditions of Complex Information Spaces
Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence. Pages 371-375.
Abstract
This paper describes a new method for visualizing complex information spaces as painted images. Scientific visualization converts data into pictures that allow viewers to “see” trends, relationships, and patterns. We introduce a formal definition of the correspondence between traditional visualization techniques and painterly styles from the Impressionist art movement. This correspondence allows us to apply perceptual guidelines from visualization to control the presentation of information in a computer-generated painting. The result is an image that is visually engaging, but that also allows viewers to rapidly and accurately explore and analyze the underlying data values. We conclude by applying our technique to a collection of environmental and weather readings, to demonstrate its viability in a practical, real-world visualization environment.
@inproceedings{ijcai2001p52,
title = {Formalizing Artistic Techniques and Scientific Visualization for Painted Renditions of Complex Information Spaces},
author = {Healey, Christopher G.},
booktitle = {Proceedings of the Seventeenth International Joint Conference on
Artificial Intelligence, {IJCAI-01}},
publisher = {International Joint Conferences on Artificial Intelligence},
pages = {371--375},
year = {2001},
url = {https://ijcai.org/proceedings/2001/52},
}
TY - CPAPER TI - Formalizing Artistic Techniques and Scientific Visualization for Painted Renditions of Complex Information Spaces AU - Healey, Christopher G. T2 - Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence, IJCAI-01 PB - International Joint Conferences on Artificial Intelligence PY - 2001 SP - 371 EP - 375 UR - https://ijcai.org/proceedings/2001/52 ER -Copied
Machine-readable versions of this paper, for tools and AI agents:
