Computationally Modeling Creative and Vision-based Art
This is a post to describe an upcoming talk; the date above is the date of the post, not the talk.
TALK: NOVEMBER 15th, 2012
Abstract:
Through the use of computer modeling techniques, scientists are gaining insight into the creative genius of portrait masters. Cognitive scientist and artist Steve DiPaola will demonstrate recently published work, showing how portrait artists intuit the science behind visual and perceptual processing in order to guide the viewers eye and create narrative. Using eye tracking and computer modeling, the study shows convincing evidence that Rembrandt, in his late portraits, used textural control reflective of deeper scientific understanding, to exploit aspects of central visioning which predate the official scientific discovery of these areas. Steve DiPaola will also discuss his recent work showcased at MIT and Cambridge. This recent work uses computer artificial intelligence and studies of human creative thought, to attempt to model creativity on a computer (that paints portraits) as a technique to better understand how the creative minds of artists have unique approaches to solving problems. The study sheds light on how higher level vision, attention and creativity processes operate.
Bio:
Steve DiPaola, active as an artist and a scientist is director of the Cognitive Science Program
at Simon Fraser University, and leads the iVizLab (ivizlab.sfu.ca), a research lab that strives to
make computational systems bend more to the human experience by incorporating biological,
cognitive and behavior knowledge models. Much of the labs work is creating computation
models of human ideals such as expression, emotion, behavior and creativity. He is most
known for his AI based computational creativity (darwinsgaze.com) and 3D facial expression
systems. He came to SFU from Stanford University. His computer based art has been exhibited
internationally in galleries in NYC, London and in major museums, including the Whitney
Museum, the MIT Museum, and the Smithsonian.
Objectives:
1. Discuss the potential use of computer modeling in brain, health and medical fields. What benefits or insights can be expected from this top down approach, to understanding the brain and associated mental processes?
2. Review current emerging research on cognitive mechanisms of human creativity. Discuss how functions in human creativity, such as the capacity to shift between associative and analytic thought, can assist in understanding higher level cognitive processing, and thus apply to mental disorders such as autism.
3. Vision and attention are coupled in certain cognitive processes, including internal modeling of the external world. How humans cognitively model their world in real-time, can begin to be parsed out using new computer modeling techniques, such as eye-tracking and sensing. Consider how computer modeling the approach of fine art masters, can affect our current understanding of how humans build representative models of their external worlds.
Opening 10 minute speaker: Miles Thorogood
Abstract:
1. The concepts and history of soundscape, including sound perception.
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