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Title

Large-object range data acquisition, fusion and segmentation

Author(s)

Hesami, Reyhaneh;  Bab-Hadiashar, Alireza;  Gheissari, Niloofar

Abstract

This paper presents the design of a low cost large-scale 3D scanner. A pan-tilt unit, a camera and a laser distance meter are combined to capture the required range and intensity data. Innovative methods for calibrating the device and fusion of the intensity and range data are introduced. Once a reliable data achieved, a parametric segmentation technique has been adopted to segment the range images into planar surfaces. Experimental results show that even for data corrupted by a large number of outliers (due to people movement in front of the imaged buildings), range and intensity data are highly consistence and segmentation algorithm has been able to properly segment coplanar areas.

Publication type

Conference paper

Research centre

Swinburne University of Technology. Faculty of Engineering and Industrial Sciences

Source

Proceedings of the International Conference on Digital Image Computing: Techniques and Applications (DICTA 2005), Cairns, Queensland, Australia, 06-08 December 2005

Publication year

2005

Publisher

IEEE

ISBN

0769524672

Publisher URL

http://dx.doi.org/10.1109/DICTA.2005.50

Copyright

Copyright © 2005 IEEE. Published version of the paper reproduced here in accordance with the copyright policy of the publisher. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

Full text

Peer reviewed