Title :
A novel approach to automatic registration of point clouds
Author :
Liu, Rui ; Burschka, Darius ; Hirzinger, Gerd
Author_Institution :
Inst. of Robotics & Mechatronics, Wessling
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;
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
DOI :
10.1109/IGARSS.2007.4422815