Edge and tree detection from three-dimensional unorganised point clouds from terretrial laser scanners
A method for edge detection in unorganised point clouds from terrestrial laser scanners without preprocessed triangle meshes is proposed. The method is based on geometric primitives such as change of geometric curvature and surface normal vector. As an application of the proposed edge detection, we...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Conference Paper |
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Spatial Sciences Institute
2004
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| Online Access: | http://hdl.handle.net/20.500.11937/14908 |
| _version_ | 1848748749014171648 |
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| author | Bae, Kwang-Ho Lichti, Derek |
| author2 | Richard Smith |
| author_facet | Richard Smith Bae, Kwang-Ho Lichti, Derek |
| author_sort | Bae, Kwang-Ho |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | A method for edge detection in unorganised point clouds from terrestrial laser scanners without preprocessed triangle meshes is proposed. The method is based on geometric primitives such as change of geometric curvature and surface normal vector. As an application of the proposed edge detection, we introduce an algorithm for tree detection. Using the fact that trees have higher curvature points than human-made structures, e.g. buildings, they can be extracted from the point cloud. Higher curvature points are used as seeds for a region-growing method to detect whole trees with the aid of a reasonable termination condition. |
| first_indexed | 2025-11-14T07:09:59Z |
| format | Conference Paper |
| id | curtin-20.500.11937-14908 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T07:09:59Z |
| publishDate | 2004 |
| publisher | Spatial Sciences Institute |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-149082022-10-06T07:15:24Z Edge and tree detection from three-dimensional unorganised point clouds from terretrial laser scanners Bae, Kwang-Ho Lichti, Derek Richard Smith Ken Dawbin A method for edge detection in unorganised point clouds from terrestrial laser scanners without preprocessed triangle meshes is proposed. The method is based on geometric primitives such as change of geometric curvature and surface normal vector. As an application of the proposed edge detection, we introduce an algorithm for tree detection. Using the fact that trees have higher curvature points than human-made structures, e.g. buildings, they can be extracted from the point cloud. Higher curvature points are used as seeds for a region-growing method to detect whole trees with the aid of a reasonable termination condition. 2004 Conference Paper http://hdl.handle.net/20.500.11937/14908 Spatial Sciences Institute restricted |
| spellingShingle | Bae, Kwang-Ho Lichti, Derek Edge and tree detection from three-dimensional unorganised point clouds from terretrial laser scanners |
| title | Edge and tree detection from three-dimensional unorganised point clouds from terretrial laser scanners |
| title_full | Edge and tree detection from three-dimensional unorganised point clouds from terretrial laser scanners |
| title_fullStr | Edge and tree detection from three-dimensional unorganised point clouds from terretrial laser scanners |
| title_full_unstemmed | Edge and tree detection from three-dimensional unorganised point clouds from terretrial laser scanners |
| title_short | Edge and tree detection from three-dimensional unorganised point clouds from terretrial laser scanners |
| title_sort | edge and tree detection from three-dimensional unorganised point clouds from terretrial laser scanners |
| url | http://hdl.handle.net/20.500.11937/14908 |