BRUTE FORCE MATCHING BETWEEN CAMERA SHOTS AND SYNTHETIC IMAGES FROM POINT CLOUDS
3D point clouds, acquired by state-of-the-art terrestrial laser scanning techniques (TLS), provide spatial information about accuracies up to several millimetres. Unfortunately, common TLS data has no spectral information about the covered scene. However, the matching of TLS data with images is im...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2016-06-01
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| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B5/771/2016/isprs-archives-XLI-B5-771-2016.pdf |
| _version_ | 1819053121290108928 |
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| author | R. Boerner M. Kröhnert |
| author_facet | R. Boerner M. Kröhnert |
| author_sort | R. Boerner |
| collection | DOAJ |
| description | 3D point clouds, acquired by state-of-the-art terrestrial laser scanning techniques (TLS), provide spatial information about accuracies up
to several millimetres. Unfortunately, common TLS data has no spectral information about the covered scene. However, the matching
of TLS data with images is important for monoplotting purposes and point cloud colouration. Well-established methods solve this
issue by matching of close range images and point cloud data by fitting optical camera systems on top of laser scanners or rather using
ground control points.
<br><br>
The approach addressed in this paper aims for the matching of 2D image and 3D point cloud data from a freely moving camera within
an environment covered by a large 3D point cloud, e.g. a 3D city model. The key advantage of the free movement affects augmented
reality applications or real time measurements. Therefore, a so-called real image, captured by a smartphone camera, has to be matched
with a so-called synthetic image which consists of reverse projected 3D point cloud data to a synthetic projection centre whose exterior
orientation parameters match the parameters of the image, assuming an ideal distortion free camera. |
| first_indexed | 2024-12-21T12:30:41Z |
| format | Article |
| id | doaj.art-cbc8a8f391dc4a8c8fdb957a9d14fd1c |
| institution | Directory Open Access Journal |
| issn | 1682-1750 2194-9034 |
| language | English |
| last_indexed | 2024-12-21T12:30:41Z |
| publishDate | 2016-06-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| spelling | doaj.art-cbc8a8f391dc4a8c8fdb957a9d14fd1c2022-12-21T19:04:02ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342016-06-01XLI-B577177710.5194/isprs-archives-XLI-B5-771-2016BRUTE FORCE MATCHING BETWEEN CAMERA SHOTS AND SYNTHETIC IMAGES FROM POINT CLOUDSR. Boerner0M. Kröhnert1Institute of Photogrammetry and Remote Sensing, Technische Universität Dresden, GermanyInstitute of Photogrammetry and Remote Sensing, Technische Universität Dresden, Germany3D point clouds, acquired by state-of-the-art terrestrial laser scanning techniques (TLS), provide spatial information about accuracies up to several millimetres. Unfortunately, common TLS data has no spectral information about the covered scene. However, the matching of TLS data with images is important for monoplotting purposes and point cloud colouration. Well-established methods solve this issue by matching of close range images and point cloud data by fitting optical camera systems on top of laser scanners or rather using ground control points. <br><br> The approach addressed in this paper aims for the matching of 2D image and 3D point cloud data from a freely moving camera within an environment covered by a large 3D point cloud, e.g. a 3D city model. The key advantage of the free movement affects augmented reality applications or real time measurements. Therefore, a so-called real image, captured by a smartphone camera, has to be matched with a so-called synthetic image which consists of reverse projected 3D point cloud data to a synthetic projection centre whose exterior orientation parameters match the parameters of the image, assuming an ideal distortion free camera.https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B5/771/2016/isprs-archives-XLI-B5-771-2016.pdf |
| spellingShingle | R. Boerner M. Kröhnert BRUTE FORCE MATCHING BETWEEN CAMERA SHOTS AND SYNTHETIC IMAGES FROM POINT CLOUDS The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| title | BRUTE FORCE MATCHING BETWEEN CAMERA SHOTS AND SYNTHETIC IMAGES FROM POINT CLOUDS |
| title_full | BRUTE FORCE MATCHING BETWEEN CAMERA SHOTS AND SYNTHETIC IMAGES FROM POINT CLOUDS |
| title_fullStr | BRUTE FORCE MATCHING BETWEEN CAMERA SHOTS AND SYNTHETIC IMAGES FROM POINT CLOUDS |
| title_full_unstemmed | BRUTE FORCE MATCHING BETWEEN CAMERA SHOTS AND SYNTHETIC IMAGES FROM POINT CLOUDS |
| title_short | BRUTE FORCE MATCHING BETWEEN CAMERA SHOTS AND SYNTHETIC IMAGES FROM POINT CLOUDS |
| title_sort | brute force matching between camera shots and synthetic images from point clouds |
| url | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B5/771/2016/isprs-archives-XLI-B5-771-2016.pdf |
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