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Proceedings Paper

Algorithm development with the integrated vision system to get the 3D location data
Author(s): Ji-hyeon Lee; Moo-hyun Kim; Yeong-kyeong Kim; Mu-hun Park
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Paper Abstract

This paper introduces an Integrated Vision System that enables us to detect the image of slabs and coils and get the complete three dimensional location data without any other obstacles in the field of unmanned-crane automation system. Existing laser scanner research tends to be easily influenced by the environment of the work place and therefore cannot give the exact location information. Also, CCD cameras have some problems recognizing the pattern because of the illumination intensity caused in an industrial setting. To overcome these two weaknesses, this thesis suggests laser scanners should be combined with a CCD camera named Integrated Vision System. This system can draw clearer pictures and take advanced 3D location information. The suggested system is expected to help improve the unmanned-crane automation system.

Paper Details

Date Published: 1 October 2011
PDF: 6 pages
Proc. SPIE 8285, International Conference on Graphic and Image Processing (ICGIP 2011), 82851V (1 October 2011); doi: 10.1117/12.913456
Show Author Affiliations
Ji-hyeon Lee, Changwon National Univ. (Korea, Republic of)
Moo-hyun Kim, Changwon National Univ. (Korea, Republic of)
Yeong-kyeong Kim, Changwon National Univ. (Korea, Republic of)
Mu-hun Park, Changwon National Univ. (Korea, Republic of)


Published in SPIE Proceedings Vol. 8285:
International Conference on Graphic and Image Processing (ICGIP 2011)
Yi Xie; Yanjun Zheng, Editor(s)

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