Li, F. orcid.org/0000-0002-6413-3617, Stoddart, D. and Hitchens, C. (2017) Method to Automatically Register Scattered Point Clouds Based on Principal Pose Estimation. Optical Engineering, 56 (4). 044107. ISSN 0091-3286
Abstract
Three dimensional (3-D) modeling is important in applications ranging from manufacturing to entertainment. Multiview registration is one of the crucial steps in 3-D model construction. The automatic establishment of correspondences between overlapping views, without any known initial information, is the main challenge in point clouds registration. An automatic registration algorithm is proposed to solve the registration problem of rigid, unordered, scattered point clouds. This approach is especially suitable for registering datasets that are lacking in features or texture. In general, the existing techniques exhibit significant limitations in the registration of these types of point cloud data. The presented method automatically determines the best coarse registration results by exploiting the statistical technique principal component analysis and outputs translation matrices as the initial estimation for fine registration. Then, the translation matrices obtained from coarse registration algorithms are used to update the original point cloud and the optimal translation matrices are solved using an iterative algorithm. Experimental results show that the proposed algorithm is time efficient and accurate, even if the point clouds are partially overlapped and containing large missing regions.
Metadata
Authors/Creators: |
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Copyright, Publisher and Additional Information: | Copyright 2017 Society of Photo Optical Instrumentation Engineers (SPIE). One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this publication for a fee or for commercial purposes, or modification of the contents of the publication are prohibited. |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Advanced Manufacturing Institute (Sheffield) > Nuclear Advanced Manufacturing Research Centre |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 03 May 2017 09:13 |
Last Modified: | 21 Mar 2018 14:12 |
Published Version: | https://doi.org/10.1117/1.OE.56.4.044107 |
Status: | Published |
Publisher: | Society of Photo-optical Instrumentation Engineers |
Refereed: | Yes |
Identification Number: | https://doi.org/10.1117/1.OE.56.4.044107 |