由单幅二维灰度图像重构物体表面形状*

鉴于目前很少有论文讨论完整的由单幅二维灰度图像重构物体表面形状的算法,包括它的控制参数的估计及算法的实现,介绍了一种完整的SFS算法.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.与传统的算法相比,本算法无论是在速度还是在精度方面都达到了比较高的水平,具有一定的应用前景.最后还指出了在MATLAB中实现需要注意的问题.

3D reconstruction from single 2D image of object

Since there have been few papers on a whole SFS algorithm, this paper introduced a SFS algorithm which includes the estimation of the control parameters and the implementation of the algorithm. Taking into consideration of the effect of selfshading, it can effectively estimate the control parameters used in the SFS algorithms. It implemented the brightness con- straint, the intensity gradient constraint and the integrability constraint to compute the surface height and orientation and to reconstruct the surface shape. This algorithm performed better than a great deal of conventional algorithms in both speed and accuracy. This paper finally mentioned some problems that should be paid attention to in MATLAB.