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Journal of Computational Physics
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Proceedings of the 28th annual conference on Computer graphics and interactive techniques
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SIAM Journal on Scientific Computing
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Proceedings of the 1st international conference on Computer graphics and interactive techniques in Australasia and South East Asia
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SMI '03 Proceedings of the Shape Modeling International 2003
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SMI '01 Proceedings of the International Conference on Shape Modeling & Applications
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SMI '04 Proceedings of the Shape Modeling International 2004
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SIBGRAPI '04 Proceedings of the Computer Graphics and Image Processing, XVII Brazilian Symposium
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VRCAI '04 Proceedings of the 2004 ACM SIGGRAPH international conference on Virtual Reality continuum and its applications in industry
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ICCSA'06 Proceedings of the 6th international conference on Computational Science and Its Applications - Volume Part I
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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.