Xiaoru Yuan Department of Computer Science "Procedural Image Processing for Non-photorealistic Rendering and Visualization" Thursday November 11th, 12:20-1:10, Lind 409

Abstract
In this talk I will introduce a novel Procedural Image Processing (PIP) method and its applications in visualization. PIP modulates a conventional image processing filter (e.g. edge detection) kernel's sampling positions and weights through a procedural perturbation function. When properly designed, PIP can produce a variety of edge depiction styles, varying on width, solidity, and pattern, etc. Hence, PIP can be employed not only for producing artistic stylization, but also for achieving various visualization tasks. PIP produces unique effects that often cannot be achieved through conventional filters or otherwise would require multiple pass filtering. PIP perturbation functions are either defined by analytical expressions or encoded in pre-generated images. We leverage the programmable fragment shader of the current commodity graphics hardware for achieving real-time PED operation. More information is available at http://www.dtc.umn.edu/~xyuan/research/publication/isv.htm .