大论文16.Surface-based matching of 3D point clouds with variable coordinates in source and target system.pdfVIP

ISPRS Journal of Photogrammetry and Remote Sensing 111 (2016) 1–12 Contents lists available at ScienceDirect ISPRS Journal of Photogrammetry and Remote Sensing journal homepage: /locate/isprsjprs Surface-based matching of 3D point clouds with variable coordinates in source and target system Xuming Ge ⇑, Thomas Wunderlich Chair of Geodesy, Technische Universität München, Arcis-str. 21, D-80333, München, Germany a r t i c l e i n f o a b s t r a c t Article history: The automatic co-registration of point clouds, representing three-dimensional (3D) surfaces, is an impor- Received 10 June 2015 tant technique in 3D reconstruction and is widely applied in many different disciplines. An alternative Received in revised form 31 October 2015 approach is proposed here that estimates the transformation parameters of one or more 3D search sur- Accepted 1 November 2015 faces with respect to a 3D template surface. The approach uses the nonlinear Gauss–Helmert model, min- Available online 19 November 2015 imizing the quadratically constrained least squares problem. This approach has the ability to match arbitrarily oriented 3D surfaces captured from a number of different sensors, on different time-scales Keywords: and at different resolutions. In addition to the 3D surface-matching paths, the mathematical model 3D surface matching allows the precision of the p