An Improved Algorithm of Precise Point Cloud Registration

Basing on the application of digital protection of cultural sites, this paper presented a precise algorithm for the multi-resolution point cloud 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.

[1]  Díbio Leandro Borges,et al.  A dynamic approach for approximate pairwise alignment based on 4-points congruence sets of 3D points , 2011, 2011 18th IEEE International Conference on Image Processing.

[2]  Li Renju Data registration in 3-D scanning systems , 2004 .

[3]  K. S. Arun,et al.  Least-Squares Fitting of Two 3-D Point Sets , 1987, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[4]  Naokazu Yokoya,et al.  A Robust Method for Registration and Segmentation of Multiple Range Images , 1995, Comput. Vis. Image Underst..

[5]  Feng Yan,et al.  Normal-based Algorithm for Registration Sphere Center in Multiple Views , 2005 .

[6]  Paul J. Besl,et al.  A Method for Registration of 3-D Shapes , 1992, IEEE Trans. Pattern Anal. Mach. Intell..

[7]  N. Mitra,et al.  4-points congruent sets for robust pairwise surface registration , 2008, SIGGRAPH 2008.

[8]  Andrew E. Johnson,et al.  Surface registration by matching oriented points , 1997, Proceedings. International Conference on Recent Advances in 3-D Digital Imaging and Modeling (Cat. No.97TB100134).

[9]  Lu-Shen Wu,et al.  Research and development of fringe projection-based methods in 3D shape reconstruction , 2006 .

[10]  Ioannis Stamos,et al.  Automated feature-based range registration of urban scenes of large scale , 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..

[11]  Andrea Tagliasacchi,et al.  Eurographics Symposium on Geometry Processing 2013 Sparse Iterative Closest Point , 2022 .