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基于自适应Eikonal方程的改进透视SFS算法

DOI: 10.11834/jig.20100509

Keywords: 明暗恢复形状,Eikonal方程,快速步进法,自适应Eikonal方程

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Abstract:

PFMM(perspectivefastmarchingmethod)是一种有效解决透视投影下从明暗恢复形状(SFS)问题的方法,但是适应条件受限,且对初始数据的精度较为敏感。本文通过对Eikonal方程系数的分析,提出了在透视投影下基于自适应Eikonal方程的PFMM,解决了PFMM对初始数据过于依赖的问题,是PFMM的推广。对合成图像的实验表明本文算法比PFMM精度更高,对透视投影下SFS问题可以得到比较好的结果。

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