Fuzz Generation and Representation

Abstract

Visually appealing fuzz is a complex and challenging aspect of computer graphics, achieving this produces fuzz with greater realism and aesthetics. Conventionally, the creation of fuzz, such as masses of hair, fur or fibre, is possible through manual sculpting and modification of digital fuzz but it is laborious process. This research aims to achieve two goals: generate the description of fuzz, and develop a representation for fuzz. This is achieved by examining fuzz from the formation of its follicles to its fuzzy appendage, and investigating previous work related to fuzzy representations. The result will be a fuzz representation utilising the description of fuzz that is flexible to changes to its description, and respond to external influences accordingly.

Participants

Journal Articles

[1] Siew Mai Bong and Shaun Bangay. Biologically inspired vector fields to generate hair directions. Asia Pacific Journal of Contemporary Education and Communication Technology, 1(1), 2015. [PDF] [BibTeX]

Conference Papers (peer reviewed)

[1] Siew Mai Bong and Shaun Bangay. Use of a biologically adapted reaction-diffusion model to generate hair properties for synthetic creatures. In Proceedings of the Australasian Computer Science Week Multiconference, ACSW '17, pages 65:1-65:10, Geelong, Australia, 2017. ACM, New York, NY, USA. [PDF] [BibTeX]

[2] Siew Mai Bong and Shaun Bangay. Biologically inspired vector fields to generate hair directions. In First Asia Pacific Conference on Advanced Research (APCAR-2015), July 2015. Best Paper Award. Also republished in Asia Pacific Journal of Contemporary Education and Communication Technology. [PDF] [BibTeX]

Technical Reports

[1] Siew Mai Bong. Fuzz generation and representation. Technical Report Honours Project Report, GIVE group, School of Information Technology, Deakin University, Australia, October 2013. [PDF] [BibTeX]

Images