Resource type
Date created
2008-10
Authors/Contributors
Author: DiPaola, Steve
Abstract
This work is ongoing output from research work by Steve DiPaola that attempts to build a computational painting system (called ‘painterly’) that allows aspects of art (the creative human act of fine art painting) and science (cognition, vision and perception; as well as computational design) to both enhance and validate each other. The research takes a novel approach to non photorealistic rendering (NPR) which relies on parameterizing a semantic knowledge space of how a human painter paints, that is, the creative and cognitive process.
Document
Copyright statement
Copyright is held by the author(s).
Peer reviewed?
No
Language
English
Member of collection
Download file | Size |
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dipaola-computationallyrendered.pdf | 92.51 KB |