Research Colloquium at the School of Interactive Arts and Technology, SFU Surrey presents:

Steve DiPaola and Penny Simpson

October 15, 2008 at 2:30 pm

SFU Surrey Campus, Room 5380 (5th Floor Galleria)

Steve DiPaola

• Computation modeling aspects of creative human cognition ** Slides

Can you use computational intelligence techniques to allow aspects of art (the creative human act of fine art painting) and science (cognition, vision and perception) to both enhance and validate each other? This research takes two novel approaches to computer painterly rendering which rely on parameterizing a semantic knowledge space of how a human painter paints (the creative and cognitive process) as well as evolving programs that use techniques gleaned from current human creativity theory. These approaches have two intertwining and interdisciplinary research outcomes. The first is creating a new type of painterly rendering system with both a wider range and improved results compared to current techniques. The second benefit, is that portrait artists over 1000's of years have somewhat intuitively evolved a 'painting methodology' which exploits specific human vision and cognitive functions, and therefore when presented in a quantitative way (from our system) can shed light on psychological research in human vision and perception (or at least validate it via another method). The reverse is also true - via this system and process, cognitive scientists can understand artistic technique (which can be useful in many areas including how to make design systems creative). With this in mind we are 1) validating our system by using an original hypothesis about Rembrandt's use of cognitive textural agency in his late portraits as a test case and 2) using a Genetic Programming system to evolve portrait painting programs which use a human creativity based process. See ivizlab.sfu.ca/research for details.

Steve DiPaola is an Associate Professor at the School of Interactive Arts and Technology, SFU. His research interests include 3D Computer Graphics and Artificial Intellegence for Visual Systems.

Penny Simpson (Thesis Librarian)

For further assistance with thesis format and submission questions, contact Penny Simpson, Assistant for Theses

Email: thesis_assistant@sfu.ca

Tel: 778.782-4747

Or visit Preparing and Submitting Your Thesis

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