| dc.rights.license | CC-BY-NC-ND | |
| dc.contributor.advisor | Kreveld, M. van | |
| dc.contributor.advisor | Vaxman, A. | |
| dc.contributor.author | Dieren, J. van | |
| dc.date.accessioned | 2016-07-19T17:01:23Z | |
| dc.date.available | 2016-07-19T17:01:23Z | |
| dc.date.issued | 2016 | |
| dc.identifier.uri | https://studenttheses.uu.nl/handle/20.500.12932/22814 | |
| dc.description.abstract | In this thesis we present an algorithm that detects and models pipelines in 3-dimensional point clouds. The algorithm starts from a user provided seed and alternates between model building and primitive detection as it tracks the pipeline. The algorithm does not require preprocessing such as registration or subsampling. When provided with a suitable seed and search area size the algorithm produces good models. | |
| dc.description.sponsorship | Utrecht University | |
| dc.format.extent | 6852213 | |
| dc.format.mimetype | application/pdf | |
| dc.language.iso | en_US | |
| dc.title | Pipeline Extraction | |
| dc.type.content | Master Thesis | |
| dc.rights.accessrights | Open Access | |
| dc.subject.keywords | point cloud, pipeline, detection, reconstruction, extraction | |
| dc.subject.courseuu | Computing Science | |
