Abstract: This paper introduces the estimation of parameters and the implementation of a SFS algorithm. Taking into consideration of the effect of self-shading, it can effectively estimate the control parameters used in the SFS algorithms. It implements the brightness constraint, the intensity gradient constraint and the integrability constraint to compute the surface height and orientation and to reconstruct the surface shape. It finally mentions some problems that should be paid attention to in Matlab.

Key words: 3D reconstruction, SFS, estimation of parameters, variational calculus, hierarchical algorithm

摘要： 本文介绍了一种SFS算法的参数估计及其实现。它在考虑自遮掩影响的情况下，有效地估计了SFS算法中涉及的各种控制参数，并引入亮度约束、灰度梯度约束和可积性约束，计算出表面高度和表面向量，实现三维重构。本文最后还指出了在Matlab中实现需要注意的问题。

关键词: 三维重构, SFS, 参数估计, 变分法, 分层算法