一种新的三维表面重建方法——基础矩阵法的研究

Study of a new method of 3D surface reconstruction —— fundamental matrix method

基础矩阵法是计算机视觉领域的一个新热点。为克服 8点法对噪声敏感的缺点 ,文中将求解基础矩阵的问题转化为带约束的最优化问题 。

Fundamental matrix method is one of the hotspots in computer vision recently. To overcome the shortage of the sensitivity to noise in 8\|point algorithm, an algorithm using the constrained optimization is given to find the elements of fundamental matrix. This method is robust and easily to perform. \;