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Optical Engineering

Artificial feature-based multiview registration method for three-dimensional free-form object modeling
Author(s): Tongqun Ren; Jigui Zhu; Yinbiao Guo; Wei Luo
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Paper Abstract

Two integral registration methods based on artificial features are described. In method one, independent global control points are designed to build a global coordinate system. Registration target and camera are also introduced to create intermediary coordinate systems. For each local scanning, one image of the whole measuring scene is shot by registration camera. Then local data can be unified to the global coordinate system by solving transition chains of various coordinate systems from this single image based on the projective geometry principle. In the other method, control points are placed on the object surface evenly and shot by registration camera from different positions and orientations. We solve their coordinates by employing the bundle adjustment method to build a global control network. The range sensor shoots at least three control points during each local scan. Then registration can be completed by mapping these control points into the global control network. In this work, the range sensor is untracked. Error accumulation and propagation are also effectively conquered, since overlapping of neighboring subregions is unessential. Experimental results are presented to show the feasibility of the proposed methods.

Paper Details

Date Published: 1 May 2010
PDF: 7 pages
Opt. Eng. 49(5) 053603 doi: 10.1117/1.3430577
Published in: Optical Engineering Volume 49, Issue 5
Show Author Affiliations
Tongqun Ren, Xiamen Univ. (China)
Jigui Zhu, Tianjin Univ. (China)
Yinbiao Guo, Xiamen Univ. (China)
Wei Luo, Xiamen Univ. (China)


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