@inproceedings{29e8c99798ff428da209f4e28103e276,
title = "An integrated octree-RANSAC technique for automated LiDAR building data segmentation for decorative buildings",
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 s per 1,000 points, regardless of the fa{\c c}ade{\textquoteright}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.",
author = "Fatemeh Hamid-Lakzaeian and Laefer, {Debra F.}",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2016.; 12th International Symposium on Visual Computing, ISVC 2016 ; Conference date: 12-12-2016 Through 14-12-2016",
year = "2016",
doi = "10.1007/978-3-319-50832-0_44",
language = "English (US)",
isbn = "9783319508313",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "454--463",
editor = "George Bebis and Darko Koracin and Tobias Isenberg and Sandra Skaff and Amela Sadagic and Richard Boyle and Fatih Porikli and Jianyuan Min and Carlos Scheidegger and Alireza Entezari and Bahram Parvin and Daisuke Iwai",
booktitle = "Advances in Visual Computing - 12th International Symposium, ISVC 2016, Proceedings",
}