Details
| Originalsprache | Englisch |
|---|---|
| Seiten (von - bis) | 417-422 |
| Seitenumfang | 6 |
| Fachzeitschrift | International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives |
| Jahrgang | 37 |
| Publikationsstatus | Veröffentlicht - 2008 |
| Veranstaltung | 2008 21st ISPRS International Congress for Photogrammetry and Remote Sensing - Beijing, China Dauer: 3 Juli 2008 → 11 Juli 2008 |
Abstract
Terrestrial laser scanners are more and more popular, e.g. for surveying purposes, cultural heritage, city modelling or architectural applications. Usually different points of view are necessary to acquire an object completely. The task of finding the relative orientation between several scan positions is termed as registration. Research work in data driven methods for the registration of point clouds was frequently published the last decade. A distinction between coarse registration and fine registration has been drawn. We use a featurebased registration to search for a coarse orientation. The transformation parameters are calculated by establishing correspondences between extracted planes. An efficient search strategy delivers possible candidates. The focus of this paper lies in the verification phase that is responsible for picking the correct solution. A score function is used to evaluate the candidates of probabilistic solutions for the searched transformation. The goal of a score function is to get a reliable indication, which solution is best. Ideally, the score function attains its maximum for the correct solution and is significantly larger than the score of any wrong solution.
ASJC Scopus Sachgebiete
- Informatik (insg.)
- Information systems
- Sozialwissenschaften (insg.)
- Geografie, Planung und Entwicklung
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in: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, Jahrgang 37, 2008, S. 417-422.
Publikation: Beitrag in Fachzeitschrift › Konferenzaufsatz in Fachzeitschrift › Forschung › Peer-Review
}
TY - JOUR
T1 - Analysis of score functions for the automatic registration of terrestrial laser scans
AU - Dold, Christoph
AU - Brenner, Claus
PY - 2008
Y1 - 2008
N2 - Terrestrial laser scanners are more and more popular, e.g. for surveying purposes, cultural heritage, city modelling or architectural applications. Usually different points of view are necessary to acquire an object completely. The task of finding the relative orientation between several scan positions is termed as registration. Research work in data driven methods for the registration of point clouds was frequently published the last decade. A distinction between coarse registration and fine registration has been drawn. We use a featurebased registration to search for a coarse orientation. The transformation parameters are calculated by establishing correspondences between extracted planes. An efficient search strategy delivers possible candidates. The focus of this paper lies in the verification phase that is responsible for picking the correct solution. A score function is used to evaluate the candidates of probabilistic solutions for the searched transformation. The goal of a score function is to get a reliable indication, which solution is best. Ideally, the score function attains its maximum for the correct solution and is significantly larger than the score of any wrong solution.
AB - Terrestrial laser scanners are more and more popular, e.g. for surveying purposes, cultural heritage, city modelling or architectural applications. Usually different points of view are necessary to acquire an object completely. The task of finding the relative orientation between several scan positions is termed as registration. Research work in data driven methods for the registration of point clouds was frequently published the last decade. A distinction between coarse registration and fine registration has been drawn. We use a featurebased registration to search for a coarse orientation. The transformation parameters are calculated by establishing correspondences between extracted planes. An efficient search strategy delivers possible candidates. The focus of this paper lies in the verification phase that is responsible for picking the correct solution. A score function is used to evaluate the candidates of probabilistic solutions for the searched transformation. The goal of a score function is to get a reliable indication, which solution is best. Ideally, the score function attains its maximum for the correct solution and is significantly larger than the score of any wrong solution.
KW - Point Cloud
KW - Range Images
KW - Registration
KW - Terrestrial Laser Scanning
KW - Transformation
UR - http://www.scopus.com/inward/record.url?scp=77956766195&partnerID=8YFLogxK
M3 - Conference article
AN - SCOPUS:77956766195
VL - 37
SP - 417
EP - 422
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 - 2008 21st ISPRS International Congress for Photogrammetry and Remote Sensing
Y2 - 3 July 2008 through 11 July 2008
ER -