Work place: Purdue University, 610 Purdue Mall, West Lafayette, Indiana, USA
E-mail: tmcgraw@purdue.edu
Website:
Research Interests: Image Processing, Medical Informatics, Computational Science and Engineering
Biography
Tim Mc Graw is an Associate Professor of Computer Graphics Technology. His areas of interest are virtual reality, scientific visualization, real-time computer graphics, medical image processing and computational art. Specific projects include modeling and mesh editing in VR, diffusion tensor MRI (DT-MRI) visualization, and mesh processing. He was awarded 4 patents related to DT-MRI visualization projects performed with Siemens Corporate Research. He has previous industry experience as a Mechanical Engineer and as a game developer (Electronic Arts, Schell Games, Rainbow Studios). He received his Ph.D. in Computer and Information Science and Engineering from the University of Florida.
By Bushra Ferdousi Tim Mc Graw
DOI: https://doi.org/10.5815/ijigsp.2024.01.01, Pub. Date: 8 Feb. 2024
Artificial life and other nature-inspired techniques have been applied to many problems in computer graphics. Some of these techniques are based on observations of organic systems, such as slime molds and flocking animals, and can mimic some of their behaviors and structures. The emergent behavior of these systems can improve the realism of procedurally-generated assets used in computer graphics applications, such as animation and texture maps. In this work, we provide a survey of these techniques and applications, including cellular automata, differential growth, reaction-diffusion, and Physarum. The techniques are compared and contrasted, and the common themes and patterns are elucidated to create a taxonomy which can be useful to researchers studying existing techniques and developing new ones.
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