Automatic alignment of large 3D data sets for facade reconstruction from car-mounted LIDAR measurements

Dmitry Chetverikov, Oszkar Jozsa, Ivan Eichhardt

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Automatic reconstruction of large-scale outdoor objects like house facades is an important component of mixed-reality systems that model and visualise real world at different level of detail. The authors are involved in a project that utilises a car-mounted LIDAR to acquire a sequence 3D point clouds representing facades in a street. No GPS or IMU is used. Hundreds of point clouds need to be automatically aligned to obtain a realistic surface model of facades. In this paper, we present and compare two solutions to this complex registration problem. Our methods are based on two different, widely used techniques for registering two partially overlapping point clouds in presence of outliers. The proposed algorithms are capable of automatically detecting occasional misalignments. We analyse the operation of the algorithms paying special attention to the robustness, speed and optimal parameter setting.

Original languageEnglish
Title of host publication4th IEEE International Conference on Cognitive Infocommunications, CogInfoCom 2013 - Proceedings
PublisherIEEE Computer Society
Pages301-306
Number of pages6
ISBN (Print)9781479915439
DOIs
Publication statusPublished - Jan 1 2013
Event4th IEEE International Conference on Cognitive Infocommunications, CogInfoCom 2013 - Budapest, Hungary
Duration: Dec 2 2013Dec 5 2013

Publication series

Name4th IEEE International Conference on Cognitive Infocommunications, CogInfoCom 2013 - Proceedings

Other

Other4th IEEE International Conference on Cognitive Infocommunications, CogInfoCom 2013
CountryHungary
CityBudapest
Period12/2/1312/5/13

ASJC Scopus subject areas

  • Artificial Intelligence
  • Information Systems

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  • Cite this

    Chetverikov, D., Jozsa, O., & Eichhardt, I. (2013). Automatic alignment of large 3D data sets for facade reconstruction from car-mounted LIDAR measurements. In 4th IEEE International Conference on Cognitive Infocommunications, CogInfoCom 2013 - Proceedings (pp. 301-306). [6719261] (4th IEEE International Conference on Cognitive Infocommunications, CogInfoCom 2013 - Proceedings). IEEE Computer Society. https://doi.org/10.1109/CogInfoCom.2013.6719261