From laser-scanned data to feature human model: a system based on fuzzy logic concept

This paper describes the development of a prototype system using fuzzy logic concept for constructing a feature human model, which is to be stored in a 3D digital human model database. In our approach, the feature human model is constructed by unorganized cloud points obtained from 3D laser scanners...

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Bibliographic Details
Published in:Computer aided design 2003-03, Vol.35 (3), p.241-253
Main Authors: Wang, Charlie C.L., Chang, Terry K.K., Yuen, Matthew M.F.
Format: Article
Language:English
Subjects:
Applied sciences
Computer aided design
Computer aided engineering
Computer science
control theory
systems
Exact sciences and technology
Fashion industry
Feature recognition
Fuzzy logic
Reverse engineering
Software
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Summary:This paper describes the development of a prototype system using fuzzy logic concept for constructing a feature human model, which is to be stored in a 3D digital human model database. In our approach, the feature human model is constructed by unorganized cloud points obtained from 3D laser scanners. Firstly, noisy points are removed, and the orientation of the human model is adjusted; secondly, a feature based mesh generation algorithm is applied on the cloud points to construct the mesh surface of a human model; lastly, semantic features of the human model are extracted from the mesh surface. Compared with earlier approach, our method strongly preserves the topology of a human model; more details can be constructed; and both the robustness and the efficiency of the algorithm are improved. At the end of the paper, in order to demonstrate the functionality of feature human models, potential applications are given.
ISSN:0010-4485
1879-2685
DOI:10.1016/S0010-4485(01)00209-3