基于未标定多幅图的三维重建算法

为得到鲁棒的三维重建效果,提出了一种基于未标定多幅图像的三维重建算法。该算法首先采用Harris算法检测特征点,针对双向匹配算法匹配速度慢的缺点,使用改进的双向匹配算法进行特征点匹配,在已知摄像机参数的情况下进行两幅图的三维重建；接着采用四元数算法进行坐标转换,将由每两幅图得到的不同部分的重建结果转移到同一坐标系下,实现了多幅图像的三维重建；最后利用集束调整优化重建结果。实验结果证明,该算法能获得比较满意的重建效果。

Three dimensional reconstruction algorithm based on uncalibrated multiple images

This paper proposed an algorithm for 3D reconstruction based on uncalibrated images.First,this algorithm detected the feature points by using Harris corners,and presented an improved bidirectional matching to match these feature points.Under the condition of the known camera parameters,the authors carried out 3D reconstruction of two images.Then the quaternion algorithm was adopted to transform coordinate.The results coming from different subsets were brought into a common coordinate frame,achieving 3D reconstruction of multiple images.Finally,bundle adjustment was used to optimize the results.The experimental results show that object structure can be well reconstructed by using this algorithm.