Title :
Sequence Iterative 3D Registration of Multi-view Point Cloud for Cultural Site Scenes
Author :
Liu, Jun ; Geng, Guohua ; Zhou, Mingquan
Author_Institution :
Inst. of Visualization Technol., Northwest Univ., Xi´´an, China
Abstract :
Basing on the application of digital protection of cultural sites and aiming at the multi-resolution point cloud registration problems of the cultural site scenes, this paper puts forward a 3D cloud registration method based on sequence iterative. Firstly, based on the synchronous scanning image, a rough registration of the adjacent point cloud can be obtained in an interactive way. Secondly, based on a normal-based algorithm of registration sphere center, the points of sphere surface are filtered from all scanned point cloud data according to the normal data points and the characteristic of viewpoint, and then the center of registration sphere can be calculated accurately and the initial registration of the adjacent point cloud can be obtained by setting Matching Registration Labels mode as the constraint condition. Finally, based on the 3D edge points of the adjacent point cloud from Mahalanobis distance calculations, some overlapping images can be eliminated by the way of constantly optimizing the transition matrix in the iteration process. The engineering practice of the Small Wild Goose Pagoda in Tang Dynasty and the Ancient Tomb in Han Dynasty proves that the method is reliable and easy to design and implement and can effectively restrain the accumulative errors of sequence registrations.
Keywords :
archaeology; edge detection; history; image matching; image registration; image sequences; iterative methods; matrix algebra; natural scenes; optimisation; solid modelling; 3D edge points; Ancient Tomb; Han Dynasty; Mahalanobis distance calculation; Small Wild Goose Pagoda; Tang Dynasty; adjacent point cloud; constraint condition; cultural site digital protection; cultural site scenes; digital archaeology; matching registration label mode; multiresolution point cloud registration; multiview point cloud; normal data points; normal-based algorithm; overlapping image elimination; registration sphere center; rough registration; scanned point cloud data; sequence iterative 3D cloud registration; sphere surface point filtering; synchronous scanning image; transition matrix optimization; Convergence; Cultural differences; Educational institutions; Iterative closest point algorithm; Silicon; Vectors; 3D registration; digital archaeology; iterative algorithm; multi-view point cloud;
Conference_Titel :
Computer Science & Service System (CSSS), 2012 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4673-0721-5
DOI :
10.1109/CSSS.2012.479