Computational Aesthetics Based On Gaze Patterns

Year: 2003 Authors: Gary R. Greenfield

Core claim

Predefined gaze patterns can guide computational aesthetics for evolving expressions, though the resulting fitness measure becomes too rigid and weakly discriminative.

Topics

computational aesthetics, evolutionary art, eye tracking, gaze patterns

Domains

algorithmic fitness, expression trees, evolving expressions, generative art, non-photorealistic imagery, visual aesthetics

Methods

user-guided evolution, eye-tracking-inspired criteria, color segmentation, fitness evaluation

Media

digital images, photographic abstractions, image populations

Source status

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