Abstract
In the optical non-contact measurement process, the reconstruction of complex object depends on the registration of many data. Iterative closest point (ICP) algorithm is a mathmatical method with high level in processing data of 3D Laser Scanning about registration. For the sake of obtaining better registering result, a algorithm including primary registration and fine registration is proposed. It combines algorithm of equal curvature based feature points and improved ICP to register point cloud data automatically. Experimental results are presented and shown the accurate and robust performance of proposed algorithm.
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Zhang, X., Li, Z., Lu, P., Wang, Y. (2011). Registration Algorithms of Dental Cast Based on 3D Point-Cloud. In: Liu, C., Chang, J., Yang, A. (eds) Information Computing and Applications. ICICA 2011. Communications in Computer and Information Science, vol 244. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27452-7_31
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DOI: https://doi.org/10.1007/978-3-642-27452-7_31
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-27451-0
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