基于联合特征匹配的多视角三维重建方法

本研究提出了一种基于角点与直线联合特征的三阶段匹配算法，依次经过相关匹配、松弛迭代匹配和最小平方中值法匹配三个步骤，并与此同时加入限定图像匹配区域、添加手工匹配点对以及局部直线匹配三个人机交互环节，将局部坐标系中得到的数据点进行三维数据融合到一个坐标系中，能较好解决视差不连续区域和遮挡区域的误匹配问题.实验证明该算法具有良好的运行效率和稳定性，能够对非平面物体进行精确三维重建并实现多视角显示.

Multiple-View 3D Reconstruction Approach Based on Hybrid Feature Matching

In this research, an approach of three-phase 3D corresponding algorithm based on hybrid feature of Harris and line feature points matching is proposed, in which relative matching, relaxation matching and LMedS matching are implemented respectively. At the mean time there Human-machine interaction processes are added, namely limitation of matching area, adding feature points by hand as well as line matching. Through coordinated transformation between views, 3D data of scene form different views integrated into a uniform reference coordinate frame, which can solve the false matching problem caused by inconsistent or shadowed areas. Experiment demonstrates the efficiency and robustness of this corresponding method, in which the 3D model of the targeted object can be displayed on all views.