FAST REGISTRATION OF TERRESTRIAL LIDAR POINT CLOUD AND SEQUENCE IMAGES
Image has rich color information, and it can help to promote recognition and classification of point cloud. The registration is an important step in the application of image and point cloud. In order to give the rich texture and color information for LiDAR point cloud, the paper researched a fast re...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2017-09-01
|
| 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/XLII-2-W7/875/2017/isprs-archives-XLII-2-W7-875-2017.pdf |
| _version_ | 1818557608374566912 |
|---|---|
| author | J. Shao W. Zhang Y. Zhu A. Shen |
| author_facet | J. Shao W. Zhang Y. Zhu A. Shen |
| author_sort | J. Shao |
| collection | DOAJ |
| description | Image has rich color information, and it can help to promote recognition and classification of point cloud. The registration is an important step in the application of image and point cloud. In order to give the rich texture and color information for LiDAR point cloud, the paper researched a fast registration method of point cloud and sequence images based on the ground-based LiDAR system. First, calculating transformation matrix of one of sequence images based on 2D image and LiDAR point cloud; second, using the relationships of position and attitude information among multi-angle sequence images to calculate all transformation matrixes in the horizontal direction; last, completing the registration of point cloud and sequence images based on the collinear condition of image point, projective center and LiDAR point. The experimental results show that the method is simple and fast, and the stitching error between adjacent images is litter; meanwhile, the overall registration accuracy is high, and the method can be used in engineering application. |
| first_indexed | 2024-12-14T00:01:45Z |
| format | Article |
| id | doaj.art-936158803b094cb5bfd76b6d8a393f1a |
| institution | Directory Open Access Journal |
| issn | 1682-1750 2194-9034 |
| language | English |
| last_indexed | 2024-12-14T00:01:45Z |
| publishDate | 2017-09-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| spelling | doaj.art-936158803b094cb5bfd76b6d8a393f1a2022-12-21T23:26:18ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342017-09-01XLII-2-W787587910.5194/isprs-archives-XLII-2-W7-875-2017FAST REGISTRATION OF TERRESTRIAL LIDAR POINT CLOUD AND SEQUENCE IMAGESJ. Shao0W. Zhang1Y. Zhu2A. Shen3State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing Science and Engineering, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, ChinaState Key Laboratory of Remote Sensing Science, Institute of Remote Sensing Science and Engineering, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, ChinaCollege of Urban and Environment, Hubei Normal University, Huangshi 435002, Hubei, ChinaState Key Laboratory of Remote Sensing Science, Institute of Remote Sensing Science and Engineering, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, ChinaImage has rich color information, and it can help to promote recognition and classification of point cloud. The registration is an important step in the application of image and point cloud. In order to give the rich texture and color information for LiDAR point cloud, the paper researched a fast registration method of point cloud and sequence images based on the ground-based LiDAR system. First, calculating transformation matrix of one of sequence images based on 2D image and LiDAR point cloud; second, using the relationships of position and attitude information among multi-angle sequence images to calculate all transformation matrixes in the horizontal direction; last, completing the registration of point cloud and sequence images based on the collinear condition of image point, projective center and LiDAR point. The experimental results show that the method is simple and fast, and the stitching error between adjacent images is litter; meanwhile, the overall registration accuracy is high, and the method can be used in engineering application.https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W7/875/2017/isprs-archives-XLII-2-W7-875-2017.pdf |
| spellingShingle | J. Shao W. Zhang Y. Zhu A. Shen FAST REGISTRATION OF TERRESTRIAL LIDAR POINT CLOUD AND SEQUENCE IMAGES The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| title | FAST REGISTRATION OF TERRESTRIAL LIDAR POINT CLOUD AND SEQUENCE IMAGES |
| title_full | FAST REGISTRATION OF TERRESTRIAL LIDAR POINT CLOUD AND SEQUENCE IMAGES |
| title_fullStr | FAST REGISTRATION OF TERRESTRIAL LIDAR POINT CLOUD AND SEQUENCE IMAGES |
| title_full_unstemmed | FAST REGISTRATION OF TERRESTRIAL LIDAR POINT CLOUD AND SEQUENCE IMAGES |
| title_short | FAST REGISTRATION OF TERRESTRIAL LIDAR POINT CLOUD AND SEQUENCE IMAGES |
| title_sort | fast registration of terrestrial lidar point cloud and sequence images |
| url | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W7/875/2017/isprs-archives-XLII-2-W7-875-2017.pdf |
| work_keys_str_mv | AT jshao fastregistrationofterrestriallidarpointcloudandsequenceimages AT wzhang fastregistrationofterrestriallidarpointcloudandsequenceimages AT yzhu fastregistrationofterrestriallidarpointcloudandsequenceimages AT ashen fastregistrationofterrestriallidarpointcloudandsequenceimages |