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An Optimized Method for PDEs-Based Geometric Modeling and Reconstruction

並列摘要


This study presents an optimized method for efficient geometric modeling and reconstruction using Partial Differential Equations (PDEs). Based on the identification between the analytic solution of Bloor Wilson PDE and the Fourier series, we transform the problem of model selection for PDEs-based geometric modeling into the problem of significant frequencies selection from Fourier series. With the significance analysis of the Fourier series, a model selection and an iterative surface fitting algorithm are applied to address the problem of over fitting and under fitting in the PDEs-based geometric modeling and reconstruction. Simulations are conducted on both the computer generated geometric surface and the laser scanned 3D face data. Experiment results show the merits of the proposed method.

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