Planar and Linear Feature-Based Registration of Terrestrial Laser Scans with Minimum Overlap Using Photogrammetric Data
| atmire.migration.oldid | 472 | |
| dc.contributor.advisor | Habib, Ayman | |
| dc.contributor.author | Canaz, Sibel | |
| dc.date.accessioned | 2012-12-06T19:37:37Z | |
| dc.date.available | 2013-06-15T07:01:36Z | |
| dc.date.issued | 2012-12-06 | |
| dc.date.submitted | 2012 | en |
| dc.description.abstract | Three-dimensional (3D) modeling is crucial for studying, analyzing, reconstructing, and documenting our environment, in general, and man-made structures, in particular. 3D data for a surveyed structure can be directly collected by a Terrestrial Laser Scanner (TLS). However, several TLS scans are necessary to obtain a complete coverage of the surveyed structures. Transformation of the collected scans into a common coordinate system with a registration procedure is necessary in order to acquire a meaningful 3D model of the structure in question. The registration process requires a large overlap area among the TLS scans for reliable results. In this research, this large overlap area requirement between the TLS scans is reduced using a photogrammetric model as additional information for the registration process. Planar and linear features, which can be easily identified in photogrammetric data and TLS scans, were chosen as the registration primitives. Quantitative quality analysis is proposed in this research by calculating the point-to-plane normal distances between the registered surfaces. The experimental results from real datasets show the ability of the proposed technique, where less than 10 cm point-to-plane normal distances between the registered surfaces were observed, which confirmed the reliability of the registration results. | en_US |
| dc.identifier.citation | Canaz, S. (2012). Planar and Linear Feature-Based Registration of Terrestrial Laser Scans with Minimum Overlap Using Photogrammetric Data (Master's thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca. doi:10.11575/PRISM/27364 | en_US |
| dc.identifier.doi | http://dx.doi.org/10.11575/PRISM/27364 | |
| dc.identifier.uri | http://hdl.handle.net/11023/337 | |
| dc.language.iso | eng | |
| dc.publisher.faculty | Graduate Studies | |
| dc.publisher.institution | University of Calgary | en |
| dc.publisher.place | Calgary | en |
| dc.rights | University of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission. | |
| dc.subject | Engineering--Civil | |
| dc.subject.classification | Registration | en_US |
| dc.subject.classification | Terrestrial Laser Scanning | en_US |
| dc.subject.classification | Close Range Photogrammetry | en_US |
| dc.title | Planar and Linear Feature-Based Registration of Terrestrial Laser Scans with Minimum Overlap Using Photogrammetric Data | |
| dc.type | master thesis | |
| thesis.degree.discipline | Geomatics Engineering | |
| thesis.degree.grantor | University of Calgary | |
| thesis.degree.name | Master of Science (MSc) | |
| ucalgary.item.requestcopy | true |