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Proceedings Paper

A new registration algorithm for 3D reconstruction of objects based on 3D laser scanning
Author(s): Jianqing Zhang; Ruifang Zhai; Zuxun Zhang
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Paper Abstract

The task of surface reconstruction from three dimensional (3D) range data covers a variety of techniques. The Iterative closest Point (ICP) algorithm is the well-known algorithm used for registration of multiple range images. However, key to the success of the ICP algorithm is to acquire a proper initial transformation values and look for the correspondence relation between a pair of range images to be registered. In this paper we address a somehow different problem that has only little been addressed in the past. Combined with the match technique in photogrammetry, the paper briefly describes the principle of ICP algorithm, presents a new method to get the initial values and the method of looking for the correspondent points in the two adjoining coordinate system for the registration, and practical range images are applied for the implementation of proposed rule to show the efficiency of our approach. In addition, the whole adjustment of image registration is also employed to multiple range images.

Paper Details

Date Published: 2 December 2005
PDF: 6 pages
Proc. SPIE 6045, MIPPR 2005: Geospatial Information, Data Mining, and Applications, 604508 (2 December 2005); doi: 10.1117/12.650266
Show Author Affiliations
Jianqing Zhang, Wuhan Univ. (China)
Ruifang Zhai, Wuhan Univ. (China)
Zuxun Zhang, Wuhan Univ. (China)

Published in SPIE Proceedings Vol. 6045:
MIPPR 2005: Geospatial Information, Data Mining, and Applications
Jianya Gong; Qing Zhu; Yaolin Liu; Shuliang Wang, Editor(s)

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