Review of mobile laser scanning target-free registration methods for urban areas using improved error metrics
Registration is one of the most important tasks in mobile laser scanning (MLS) point cloud processing. This paper firstly reviews existing target-free matching techniques as well as methods to evaluate the quality of the registration. Next, a new error metric is introduced that takes into account th...
| Main Authors: | , , |
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| Format: | Journal Article |
| Language: | English |
| Published: |
WILEY
2019
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| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.11937/83271 |
| _version_ | 1848764573649207296 |
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| author | Nguyen, H.L. Belton, David Helmholz, Petra |
| author_facet | Nguyen, H.L. Belton, David Helmholz, Petra |
| author_sort | Nguyen, H.L. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Registration is one of the most important tasks in mobile laser scanning (MLS) point cloud processing. This paper firstly reviews existing target-free matching techniques as well as methods to evaluate the quality of the registration. Next, a new error metric is introduced that takes into account the residuals of check planes as well as their orientation. Experiments using real datasets in combination with reference data were performed to evaluate the suitability of these metrics. The proposed error metric proved to be more suitable for evaluating the quality of point cloud registration than state-of-the-art equivalents. The results also indicate that least squares plane fitting is the best technique for MLS point cloud registration. |
| first_indexed | 2025-11-14T11:21:30Z |
| format | Journal Article |
| id | curtin-20.500.11937-83271 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T11:21:30Z |
| publishDate | 2019 |
| publisher | WILEY |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-832712021-07-15T05:54:14Z Review of mobile laser scanning target-free registration methods for urban areas using improved error metrics Nguyen, H.L. Belton, David Helmholz, Petra Science & Technology Physical Sciences Technology Geography, Physical Geosciences, Multidisciplinary Remote Sensing Imaging Science & Photographic Technology Physical Geography Geology error metric matching quality mobile laser scanning point cloud matching target-free registration SELF-CALIBRATION POINT Registration is one of the most important tasks in mobile laser scanning (MLS) point cloud processing. This paper firstly reviews existing target-free matching techniques as well as methods to evaluate the quality of the registration. Next, a new error metric is introduced that takes into account the residuals of check planes as well as their orientation. Experiments using real datasets in combination with reference data were performed to evaluate the suitability of these metrics. The proposed error metric proved to be more suitable for evaluating the quality of point cloud registration than state-of-the-art equivalents. The results also indicate that least squares plane fitting is the best technique for MLS point cloud registration. 2019 Journal Article http://hdl.handle.net/20.500.11937/83271 10.1111/phor.12293 English WILEY restricted |
| spellingShingle | Science & Technology Physical Sciences Technology Geography, Physical Geosciences, Multidisciplinary Remote Sensing Imaging Science & Photographic Technology Physical Geography Geology error metric matching quality mobile laser scanning point cloud matching target-free registration SELF-CALIBRATION POINT Nguyen, H.L. Belton, David Helmholz, Petra Review of mobile laser scanning target-free registration methods for urban areas using improved error metrics |
| title | Review of mobile laser scanning target-free registration methods for urban areas using improved error metrics |
| title_full | Review of mobile laser scanning target-free registration methods for urban areas using improved error metrics |
| title_fullStr | Review of mobile laser scanning target-free registration methods for urban areas using improved error metrics |
| title_full_unstemmed | Review of mobile laser scanning target-free registration methods for urban areas using improved error metrics |
| title_short | Review of mobile laser scanning target-free registration methods for urban areas using improved error metrics |
| title_sort | review of mobile laser scanning target-free registration methods for urban areas using improved error metrics |
| topic | Science & Technology Physical Sciences Technology Geography, Physical Geosciences, Multidisciplinary Remote Sensing Imaging Science & Photographic Technology Physical Geography Geology error metric matching quality mobile laser scanning point cloud matching target-free registration SELF-CALIBRATION POINT |
| url | http://hdl.handle.net/20.500.11937/83271 |