Bushra Ferdousi

Work place: Purdue University, 610 Purdue Mall, West Lafayette, Indiana, USA

E-mail: bferdous@purdue.edu

Website:

Research Interests: Computer Graphics and Visualization, Machine Learning

Biography

Bushra Ferdousi received B.Sc. in Computer Science and Engineering from Ahsanullah University of Science and Technology, Dhaka, Bangladesh in 2014; She received her MSc. degree in Computer Science and Engineering in 2015 from United International University, Dhaka, Bangladesh. Her research interest includes Graphics programming, Computational Art, Visualization and Machine Learning. She is a Ph.D. candidate in Computer Graphics and Technology at Purdue University, West Lafayette, Indiana, USA.

Author Articles
A Survey of Artificial Life and Nature-inspired Techniques in Computer Graphics and Visualization

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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