DocumentCode
2663686
Title
A novel approach to automatic registration of point clouds
Author
Liu, Rui ; Burschka, Darius ; Hirzinger, Gerd
Author_Institution
Inst. of Robotics & Mechatronics, Wessling
fYear
2007
fDate
23-28 July 2007
Firstpage
401
Lastpage
404
Abstract
For the 3D reconstruction inside historic buildings, we need a marker-free automatic registration approach to align different views together, because GPS does not work indoors and markers are not allowed to paste on the walls. This paper presents an automatic matching process, which employs a novel algorithm, Dynamic Matching Tree technique, for a fast and stable coarse-matching to achieve the automatic pre-alignment of two point clouds and uses modified ICP to do a fine matching efficiently. The whole process can be divided in the following stages: preprocessing, 2-View matching and N-View matching. To validate our method, various experiments has been done on reconstruction of historic sites and industrial objects.
Keywords
geophysical signal processing; geophysical techniques; image matching; image reconstruction; image registration; image segmentation; stereo image processing; 3D reconstruction; dynamic matching tree; historic buildings; historic site reconstruction; image segmentation; independent component analysis; industrial objects; marker-free automatic registration; n-view matching; point cloud alignment; point cloud registration; Aerodynamics; Clouds; Global Positioning System; Heuristic algorithms; Image reconstruction; Image registration; Iterative closest point algorithm; Mechatronics; Robotics and automation; Skeleton; range image registration; segmentation and analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium, 2007. IGARSS 2007. IEEE International
Conference_Location
Barcelona
Print_ISBN
978-1-4244-1211-2
Electronic_ISBN
978-1-4244-1212-9
Type
conf
DOI
10.1109/IGARSS.2007.4422815
Filename
4422815
Link To Document