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• W28045498 abstract "This paper presents an integrated system for reconstructing solid models capable of handling large-scale point clouds. The present system is based on new approaches to implicit surface fitting and polygonization. The surface fitting approach uses the Partition of Unity (POU) method associated with the Radial Basis Functions (RBFs) on a distributed computing environment to facilitate and speed up the surface fitting process from large-scale point clouds without any data reduction to preserve all of the surface details. Moreover, the implicit surface polygonization approach uses an innovative Adaptive Mesh Refinement (AMR) based method to adapt the polygonization process to geometric details of the surface. This method steers the volume sampling via a series of predefined optimization criteria. Then, the reconstructed surface is extracted from the adaptively sampled volume. The experimental results have demonstrated accurate reconstruction with scalable performance. In addition, the proposed system reaches more than 80% savings in the total reconstruction time for large datasets of O(107) points." @default.
• W28045498 created "2016-06-24" @default.
• W28045498 creator A5068758385 @default.
• W28045498 date "2009-02-01" @default.
• W28045498 modified "2023-09-26" @default.
• W28045498 title "A system for reconstruction of solid models from large point clouds" @default.
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• W28045498 doi "https://doi.org/10.5555/1774809.1774814" @default.
• W28045498 hasPublicationYear "2009" @default.
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