Details
| Original language | English |
|---|---|
| Pages (from-to) | 78-83 |
| Number of pages | 6 |
| Journal | International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives |
| Volume | 36 |
| Publication status | Published - 2006 |
| Event | 2006 ISPRS Commission V Symposium on Image Engineering and Vision Metrology - Dresden, Germany Duration: 25 Sept 2006 → 27 Sept 2006 |
Abstract
The fully automatic registration of terrestrial scan data is still a major topic for many research groups. Existent methods used in commercial software often use artificial markers which are placed in the scene and measured from each scan position. This is a reliable method to get the transformation parameters, but it is not very efficient. These manual or semi-automated registration techniques should be substituted by new methods in order to make terrestrial laser scanning also profitable for larger projects. In this paper we present a registration method based on the extraction of planar patches from 3D laser scanning data. A search technique is used to find corresponding patches in two overlapping scan positions. Since laser scanning instruments are nowadays often equipped with an additional image sensor, we also use the image information to improve the registration process. Assuming that the calibration parameters of a hybrid sensor system are known, the extracted planar patches can be textured automatically. The correlation between corresponding textured patches can be calculated and the registration method is improved by shifting the patches until they fit best.
Keywords
- Fusion, Laser scanning, LIDAR, Matching, Registration, Terrestrial
ASJC Scopus subject areas
- Computer Science(all)
- Information Systems
- Social Sciences(all)
- Geography, Planning and Development
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In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, Vol. 36, 2006, p. 78-83.
Research output: Contribution to journal › Conference article › Research › peer review
}
TY - JOUR
T1 - Registration of terrestrial laser scanning data using planar patches and image data
AU - Dold, Christoph
AU - Brenner, Claus
N1 - Funding Information: The presented work has been done within in the scope of the junior research group “Automatic methods for the fusion, reduction and consistent combination of complex, heterogeneous geoinfor-mation”. The project is funded by the VolkswagenStiftung. Funding Information: Our registration method proposed in this paper is based on extracted planar patches from 3D terrestrial laser scanning data. The matching of correspondent patches is supported by geometrical features derived from the data. We also work with a hybrid sensor system and also take advantage of recorded image data. In the next section hybrid data acquisition sensors and the combination of 3D point data and 2D image data are described. Then the registration technique using geometric constraints and finally the integration of the image data into the registration process is discussed. We conclude this paper with a summary and outlook.
PY - 2006
Y1 - 2006
N2 - The fully automatic registration of terrestrial scan data is still a major topic for many research groups. Existent methods used in commercial software often use artificial markers which are placed in the scene and measured from each scan position. This is a reliable method to get the transformation parameters, but it is not very efficient. These manual or semi-automated registration techniques should be substituted by new methods in order to make terrestrial laser scanning also profitable for larger projects. In this paper we present a registration method based on the extraction of planar patches from 3D laser scanning data. A search technique is used to find corresponding patches in two overlapping scan positions. Since laser scanning instruments are nowadays often equipped with an additional image sensor, we also use the image information to improve the registration process. Assuming that the calibration parameters of a hybrid sensor system are known, the extracted planar patches can be textured automatically. The correlation between corresponding textured patches can be calculated and the registration method is improved by shifting the patches until they fit best.
AB - The fully automatic registration of terrestrial scan data is still a major topic for many research groups. Existent methods used in commercial software often use artificial markers which are placed in the scene and measured from each scan position. This is a reliable method to get the transformation parameters, but it is not very efficient. These manual or semi-automated registration techniques should be substituted by new methods in order to make terrestrial laser scanning also profitable for larger projects. In this paper we present a registration method based on the extraction of planar patches from 3D laser scanning data. A search technique is used to find corresponding patches in two overlapping scan positions. Since laser scanning instruments are nowadays often equipped with an additional image sensor, we also use the image information to improve the registration process. Assuming that the calibration parameters of a hybrid sensor system are known, the extracted planar patches can be textured automatically. The correlation between corresponding textured patches can be calculated and the registration method is improved by shifting the patches until they fit best.
KW - Fusion
KW - Laser scanning
KW - LIDAR
KW - Matching
KW - Registration
KW - Terrestrial
UR - http://www.scopus.com/inward/record.url?scp=85049519504&partnerID=8YFLogxK
M3 - Conference article
AN - SCOPUS:85049519504
VL - 36
SP - 78
EP - 83
JO - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
JF - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
SN - 1682-1750
T2 - 2006 ISPRS Commission V Symposium on Image Engineering and Vision Metrology
Y2 - 25 September 2006 through 27 September 2006
ER -