【摘要】 给出了一种基于标记点的鲁棒三维重建摄影测量系统;采用编码点和非编码点等标记点方式.为了减少不同图像间误匹配的概率,采用一种新的基于编码点的匹配方法,不同图像间非编码点的匹配从编码点开始,并通过相似性准则、模糊度准则和距离误差准则来剔除误匹配,可获得非常高的正确匹配率.采用一种新的基于标记点的加权迭代特征算法,用编码点恢复相机的投影矩阵,从而可以确定相机的外部姿态参数;用非编码点恢复3D坐标.与已有的加权迭代特征算法比较,该算法避免了所有点参与计算相机的投影矩阵,运算速度更快.由于采用标记点的亚像素定位方法,提高了3D重建精度.实验结果表明,在3D重建方面,该系统是强壮和精确的.更多还原

【Abstract】 A robust photogrammetric system for 3D reconstruction based on reference points is described.This method uses non-coded and coded points.To minimize the possibility of mismatch of non-coded points between different images, a new coded points based matching approach is proposed for the non-coded points matching.The non-coded points matching between different images start from the coded points and mismatch is eliminated by using rules of similarity,ambiguity and distance constraint error.The correct matching ratio is very high.A new weighted iterative eigen algorithm based on coded points was adopted.The projection matrix of camera is recovered by using the coded points so as to determine the external pose parameters of camera.The 3D coordinates are recovered with the non-coded points.Compared to previous methods,this algorithm does not involve the problem of computing projection matrix of camera with all the points and its computing speed is faster.3D reconstruction precision is remarkably increased since the method of subpixel reference point center location is utilized.The experiments show that system is robust and precise in 3D reconstruction.更多还原