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Proceedings Paper

Efficient alignment of multiple large complex LIDAR models
Author(s): Myron Z. Brown; Christian A. Hresko; Kevin E. Murphy; Thomas B. Criss; Michael W. Roth
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Paper Abstract

The construction of 3D models from light detection and ranging (LIDAR) data requires reliable and accurate alignment of multiple overlapping scans. While established manual and automated 3D alignment methods generally perform well, aligning scans of complex scenes from arbitrary perspectives with small amounts of overlap remains challenging. The projection information available with scanned LIDAR data is generally underutilized and may be better exploited to simplify the alignment process, avoiding manually specified algorithm parameters and improving reliability. In this work, we present projective methods for manual and automated 3D alignment and introduce a projective measure of surface interpenetration to quantify alignment error. Performance is demonstrated with a combination of indoor and outdoor scan sets, including cluttered forest scenes, and compared to results obtained using an established commercial product.

Paper Details

Date Published: 19 May 2006
PDF: 8 pages
Proc. SPIE 6214, Laser Radar Technology and Applications XI, 621402 (19 May 2006); doi: 10.1117/12.663261
Show Author Affiliations
Myron Z. Brown, The Johns Hopkins Univ. (United States)
Christian A. Hresko, The Johns Hopkins Univ. (United States)
Kevin E. Murphy, The Johns Hopkins Univ. (United States)
Thomas B. Criss, The Johns Hopkins Univ. (United States)
Michael W. Roth, The Johns Hopkins Univ. (United States)


Published in SPIE Proceedings Vol. 6214:
Laser Radar Technology and Applications XI
Gary W. Kamerman; Monte D. Turner, Editor(s)

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