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Title : A CORRESPONDENCE-BASED STRATEGY FOR AUTOMATIC REGISTRATION OF TERRESTRIAL LASER SCANNING DATA
Company : Purdue University
File Name : Grant.pdf
Size : 466672
Type : application/pdf
Date : 06-Jun-2010
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Featured Paper by

Darion Grant, James Bethel and Melba M. Crawford

The absence of explicit point correspondences among overlapping terrestrial laser scanning data limits the performance of automatic registration schemes. The popular Iterative Closest Point (ICP) and its variants, solve the correspondence problem implicitly while minimizing some distance metric. Other approaches perform low-level processing to obtain surface properties from which correspondences are established, and then they conduct the registration, which, in general is not as accurate as the ICP methods. This paper presents an approach that addresses the registration issue by dealing directly with the correspondence problem, without the use of derivative surface properties, except for local surface tangents
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