3-D Modelling of Biological Systems for Biomimetics
3-D Modelling of Biological Systems for Biomimetics
With the advanced development of computer-based enabling technologies, many engineering, medical, biology, chemistry, physics and food science etc have developed to the unprecedented levels, which lead to many research and development interests in various multi-discipline areas. Among them, biomimetics is one of the most promising and attractive branches of study. Biomimetics is a branch of study that uses biological systems as a model to develop synthetic systems. To learn from nature, one of the fundamental issues is to understand the natural systems such animals, insects, plants and human beings etc. The geometrical characterisation and representation of natural systems is an important fundamental work for biomimetics research. 3D modeling plays a key role in the geometrical characterisation and representation, especially in computer graphical visualization. This chapter firstly presents the typical procedure of 3D modelling methods and then reviews the previous work of 3D geometrical modelling techniques and systems developed for industrial, medical and animation applications. Especially the chapter discusses the problems associated with the existing techniques and systems when they are applied to 3D modelling of biological systems. In addition, the chapter also presents two case studies of authors' own work. Based upon the discussions, the chapter proposes some areas of research interests in 3D modelling of biological systems and for Biomimetics.
3D modelling, biological models, bio-inspired computing
325-392
Zhang, Xu
21e210aa-51db-40af-a91b-f64bf44ed143
Zhang, Shujun
e918def5-c5a1-46a9-9946-6a5cd6ee986c
Gloucestershire, University
f3c22c85-910b-4285-aa5c-d615631015e7
Chen, Donghui
a76fb00a-52a0-4b20-8710-e31749558725
2016
Zhang, Xu
21e210aa-51db-40af-a91b-f64bf44ed143
Zhang, Shujun
e918def5-c5a1-46a9-9946-6a5cd6ee986c
Gloucestershire, University
f3c22c85-910b-4285-aa5c-d615631015e7
Chen, Donghui
a76fb00a-52a0-4b20-8710-e31749558725
Zhang, Xu, Zhang, Shujun, Gloucestershire, University and Chen, Donghui
(2016)
3-D Modelling of Biological Systems for Biomimetics.
In,
Ng, Eddie Y K and Luo, Yuehao
(eds.)
Bio-Inspired Surfaces and Applications.
World Scientific, .
(doi:10.1142/9789814704496_0010).
Record type:
Book Section
Abstract
With the advanced development of computer-based enabling technologies, many engineering, medical, biology, chemistry, physics and food science etc have developed to the unprecedented levels, which lead to many research and development interests in various multi-discipline areas. Among them, biomimetics is one of the most promising and attractive branches of study. Biomimetics is a branch of study that uses biological systems as a model to develop synthetic systems. To learn from nature, one of the fundamental issues is to understand the natural systems such animals, insects, plants and human beings etc. The geometrical characterisation and representation of natural systems is an important fundamental work for biomimetics research. 3D modeling plays a key role in the geometrical characterisation and representation, especially in computer graphical visualization. This chapter firstly presents the typical procedure of 3D modelling methods and then reviews the previous work of 3D geometrical modelling techniques and systems developed for industrial, medical and animation applications. Especially the chapter discusses the problems associated with the existing techniques and systems when they are applied to 3D modelling of biological systems. In addition, the chapter also presents two case studies of authors' own work. Based upon the discussions, the chapter proposes some areas of research interests in 3D modelling of biological systems and for Biomimetics.
Text
b2378-ch10 - final prove 27-April 2016
- Accepted Manuscript
More information
Published date: 2016
Keywords:
3D modelling, biological models, bio-inspired computing
Identifiers
Local EPrints ID: 453916
URI: http://eprints.soton.ac.uk/id/eprint/453916
PURE UUID: 05e14408-5b2f-4df4-9564-b564736f3881
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Date deposited: 25 Jan 2022 18:08
Last modified: 16 Mar 2024 15:03
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Contributors
Author:
Shujun Zhang
Author:
University Gloucestershire
Author:
Donghui Chen
Editor:
Eddie Y K Ng
Editor:
Yuehao Luo
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