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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yu You Lixin Fan Roimela, K. Mattila, V.-V. |
| Copyright Year | 2014 |
| Description | Author affiliation: Contextual Media Syst., Nokia Res. Center, Tampere, Finland (Yu You; Lixin Fan; Roimela, K.; Mattila, V.-V.) |
| Abstract | LiDAR (light detection and ranging) 3D points (both terrestrial and airborne) have recently become a prevalent type of geospatial data. However, this large-scale data poses significant technical challenges for efficient access and visualization. One approach is to generate points with different density levels, i.e. Multi-resolution data sets that can be used for various purposes. This paper presents a simple static tree-based approach and discusses implementation alternatives in favour of speeding up tree building and point sampling processes. This approach is generic and can be applied to other geographic data types as well. |
| Starting Page | 220 |
| Ending Page | 225 |
| File Size | 673010 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781479962396 |
| DOI | 10.1109/CIT.2014.102 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-09-11 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Laser radar Three-dimensional displays multi-resolution point cloud Octrees Merging Buildings data down-sampling Data visualization LiDAR Cameras hierarchical tree structure |
| Content Type | Text |
| Resource Type | Article |
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