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ICL: ITERATIVE CLOSEST LINE
A NOVEL POINT CLOUD REGISTRATION ALGORITHM BASED ON LINEAR FEATURES

Abstract : The problem of matching 3D TLS point clouds is a necessary stage which precedes any kind of modeling in order to perfect the
object's geometry and to control its accuracy. It has been studied extensively in many graphical and image-processing domains,
However there is a lack of an adaptive study of this problem in the domain of laser scanning for architectural and urban purposes.
Hence, our study aims to summarize the existing methods of point clouds registration. We introduce a line-based matching method
which is so-called ICL (Iterative Closest Line). Some line extraction methods required by the ICL algorithm are also presented. We
compare our method to the ICP (Iterative Closest Point) one as well, which is mostly applied in the domain of point cloud and range
image registration. Our method is intended to handle the special case where both of the point clouds were obtained by means of as-
built topographic terrestrial laser scanner, which means that they are georeferenced and to be affined by the co-registration.
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Submitted on : Wednesday, May 21, 2008 - 10:28:25 AM
Last modification on : Monday, March 29, 2021 - 11:56:03 AM
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  • HAL Id : halshs-00280659, version 1

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Majd Alshawa. ICL: ITERATIVE CLOSEST LINE
A NOVEL POINT CLOUD REGISTRATION ALGORITHM BASED ON LINEAR FEATURES. ISPRS 2nd summer school in Ljubljana, Jul 2007, Slovenia. pp.1-6. ⟨halshs-00280659⟩

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