Focusing on the high error and time consuming of the algorithms for shape from shading (SFS), a fast viscosity solution algorithm of perspective SFS (PSFS-FVS) is proposed.
针对传统的从明暗恢复形状(SFS)算法存在误差大、耗时长的问题，提出了一种SFS的快速黏性解算法(PSFS - FVS)。
The definition, process of generation, and relevant PSFs are analyzed and discussed in detail so as to make HRA in complicated industrial system more reasonable and perfect.
笔者详细分析和探讨了班组人因失误的定义、产生过程及相关的人的行为形成因子，以期能使大规模工业系统中的人因失误分析更加合理和完善。
Second, to match the decay nature of turbulence PSFs, an anisotropic and nonlinear regularization function is suggested to adequately regulate the PSF values in the process of rebuilding PSF.
再针对湍流点扩展函数的衰减性质，建立了一个具有非线性和空间各向异性的正则化函数，使其在重建点扩展函数时能适当地进行空间梯度平滑。
Second, to match the decay nature of turbulence PSFs, an anisotropic and nonlinear regularization function is suggested to adequately regulate the PSF values in the process of rebuilding PSF.
再针对湍流点扩展函数的衰减性质，建立了一个具有非线性和空间各向异性的正则化函数，使其在重建点扩展函数时能适当地进行空间梯度平滑。
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