Share Email Print
cover

Proceedings Paper

Design of 3D crafts manufacturing system based on stereo vision
Author(s): Xiangyan Liu; Shilin Wu
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

This paper proposed a design program of 3D crafts manufacturing system which is based on binocular stereo vision and plug-in technology. First, this paper gave an overall introduction to the system, including system structure, function and working flow. Second, this paper analyzed some key technologies in the system development. It proposed a 3D measure method of structured light based binocular stereo system, and introduced the structure of the measurement system and analyzed thoroughly the key technologies in 3D measure, including calibration of stereo system, stereo matching and so on. Besides, it did some researches on how to use Geomagic Studio to carry on point cloud processing and the STL reconstruction. Third, this paper analyzed how to develop the system software which mainly consists of 3D measure Geomagic plug-in and RE Geomagic plug-in using VC++ programming language and plug-in technology. At last, this paper carried on large numbers of experiments and simulation using the developed software and the platform built according to the development program proposed in this paper and received satisfactory results which have proven that the development program proposed in this paper is feasible and the developed software takes on usability and may be used in the development of RE and RP system.

Paper Details

Date Published: 2 December 2011
PDF: 8 pages
Proc. SPIE 8004, MIPPR 2011: Pattern Recognition and Computer Vision, 80041E (2 December 2011); doi: 10.1117/12.902915
Show Author Affiliations
Xiangyan Liu, Wuhan Textile Univ. (China)
Huazhong Univ. of Science and Technology (China)
Shilin Wu, Wuhan Textile Univ. (China)


Published in SPIE Proceedings Vol. 8004:
MIPPR 2011: Pattern Recognition and Computer Vision
Jonathan Roberts; Jie Ma, Editor(s)

© SPIE. Terms of Use
Back to Top