Autonomous flock brush for non-photorealistic rendering
Abstract
Non-photorealistic rendering systems strive to create compelling stylized effects from realistic images. We present an interactive process using flocks of autonomous agents to model a painter's brush. As flocks of agents glide across the canvas like bristles on a paint brush, a stylized picture can be produced by carefully directing the path of movement. The agents leave behind a trail of color resulting in painterly or pencil sketch looking images.
Authors: Hsueh En Huang, Yew-Soon Ong, Xianshun Chen
Published in: IEEE Congress on Evolutionary Computation (CEC) (2012)