通过GNC实现薄板能量最小化

3rd International Symposium on Image and Signal Processing and Analysis, 2003. ISPA 2003. Proceedings of the Pub Date : 2003-09-18 DOI:10.1109/ISPA.2003.1296483

D. Gelli, D. Vitulano

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摘要

本文研究了用梯度非凸性(GNC)算法求解不连续薄板问题。GNC应用于这样的能量使我们能够实现这个问题的精确解决方案，并克服了基于薄膜的“两步”过程中实现最小化的缺点。后者的典型畸变可以通过稍高的计算量来避免。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Thin plate energy minimization via GNC

This paper focuses on the minimization of a thin plate problem with discontinuities by means of GNC (graduated nonconvexity) algorithm. GNC applied to such an energy allows us to achieve the exact solution of this problem, and to overcome drawbacks concerning minimization achieved by a "two-steps" process based on thin membrane. Typical distortions of the latter are avoided with a little higher computational effort.

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3rd International Symposium on Image and Signal Processing and Analysis, 2003. ISPA 2003. Proceedings of the

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