An Integrated Octree-RANSAC Technique for Automated LiDAR Building Data Segmentation for Decorative Buildings

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Title: An Integrated Octree-RANSAC Technique for Automated LiDAR Building Data Segmentation for Decorative Buildings
Authors: Hamid-Lakzaeian, Fatemeh
Laefer, Debra F.
Permanent link: http://hdl.handle.net/10197/9526
Date: 10-Dec-2016
Abstract: This paper introduces a new method for the automated segmentation of laser scanning data for decorative urban buildings. The method combines octree indexing and RANSAC - two previously established but heretofore not integrated techniques. The approach was successfully applied to terrestrial point clouds of the facades of five highly decorative urban structures for which existing approaches could not provide an automated pipeline. The segmentation technique was relatively efficient and wholly scalable requiring only 1 second per 1,000 points, regardless of the façade’s level of ornamentation or non-recti-linearity. While the technique struggled with shallow protrusions, its ability to process a wide range of building types and opening shapes with data densities as low as 400 pts/m2 demonstrate its inherent potential as part of a large and more sophisticated processing approach.
Funding Details: European Research Council
Type of material: Book Chapter
Publisher: Springer
Volume: 10073
Series/Report no.: Lecture Notes in Computer Science
Copyright (published version): 2016 Springer
Keywords: Building façadesGeometric representationLiDAR
DOI: 10.1007/978-3-319-50832-0_44
Other versions: https://www.isvc.net/
Language: en
Status of Item: Peer reviewed
Conference Details: The 12th International Symposium on Visual Computing (ISVC 2016), Las Vegas, United States of America, 12-14 December 2016
metadata.dc.date.available: 2018-10-25T11:12:55Z
Appears in Collections:Earth Institute Research Collection
Civil Engineering Research Collection

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