6. Illustrative Visualization for Medicine and Science
Sunday
Full-Day, 8:30 am - 5:30 pm
Level: Intermediate
Room 156
Research and recent development in computer-generated illustration techniques within non-photorealistic rendering. The course concentrates specifically on illustration methods for computer-generated technical, scientific, medical, and interactive illustrations of both surface and volumetric data. It also presents the perspective of two medical illustrators on computerized illustration.
Prerequisites
Required: intermediate knowledge of 3D computer graphics and scientific visualization algorithms. Programming experience using a 3D library for interactive graphics and some awareness of existing NPR techniques may be helpful. Not required: prior knowledge of or background in artistic techniques, traditional scientific illustration, or perceptual psychology.
Intended Audience
Researchers and practitioners interested in non-photorealistic and illustrative rendering, visualizing and managing scientific data, and/or interactive medical and scientific applications of computer graphics.
Co-Organizers
David S. Ebert
Purdue University
Mario Costa Sousa
University of Calgary
Lecturers
Bill Andrews
Medical College of Georgia
Stefan Bruckner
Technische Universität Wien
Bruce Gooch
Northwestern University
Don Stredney
Ohio Supercomputer Center
Nikolai Svakhine
Purdue University
Ivan Viola
Technische Universität Wien
Full-Day, 8:30 am - 5:30 pm
Level: Intermediate
Room 156
Research and recent development in computer-generated illustration techniques within non-photorealistic rendering. The course concentrates specifically on illustration methods for computer-generated technical, scientific, medical, and interactive illustrations of both surface and volumetric data. It also presents the perspective of two medical illustrators on computerized illustration.
Prerequisites
Required: intermediate knowledge of 3D computer graphics and scientific visualization algorithms. Programming experience using a 3D library for interactive graphics and some awareness of existing NPR techniques may be helpful. Not required: prior knowledge of or background in artistic techniques, traditional scientific illustration, or perceptual psychology.
Intended Audience
Researchers and practitioners interested in non-photorealistic and illustrative rendering, visualizing and managing scientific data, and/or interactive medical and scientific applications of computer graphics.
Co-Organizers
David S. Ebert
Purdue University
Mario Costa Sousa
University of Calgary
Lecturers
Bill Andrews
Medical College of Georgia
Stefan Bruckner
Technische Universität Wien
Bruce Gooch
Northwestern University
Don Stredney
Ohio Supercomputer Center
Nikolai Svakhine
Purdue University
Ivan Viola
Technische Universität Wien
