Based On The The Monocular Multiple Images Of Three-dimensional Surface Reconstruction Of The Study

The 3D surface reconstruction from monocular multiple imagines is hotspot in the research domain of images in recent years. Based on the analysis of Lambertain, Phong, Torrance-Sparrow and Cook-Torrance illumination models, a method for 3D surface reconstruction from multiple shaded images with different illumination is presented in the paper.With the basis of the system of nonlinear equations which is established by minimizing the error quadratic sum of theoretical and actual shaded value of the points on the typical surface, the parameters of the illumination models can be firstly determined by means of the least-square procedure. Then a new system of nonlinear equations can be formed from the variation gray of same point in multiple images and the optimum solution of the system can be obtained from Gauss-Newton and Levenberg-Marquardt algorithms, so that the normal vector at that point of the surface can be defined. Thirdly, the surface height at the point can be gotten by applying composite numerical integration. According to variational calculus and finite difference method, the fitted surface is further iterated and modified, so the best reconstruction surface can be finally obtained. The analysis from the calculation and test results shows that the algorithm presented in paper is effective in use and high in calculating accuracy.The surface reconstruction program based on multiple 2D images has been developed with Visual C++ Programming language on the platform of Windows98 operation system. The interface of the program is friendly and its function is abundance. The 3D surface reconstruction examples from a practical 2D images of a metal sphere taken from a digital camera, based on above models, show a satisfying result.