基于未标定彩色图像三维重建的立体匹配算法

Stereo Matching Algorithm Based on Uncalibrated Color Images for 3D Reconstruction

提出了一种用于三维重建的未标定彩色图像立体匹配算法。针对Harris角点的聚簇现象,引入了限制因子来消除,通过采用精度较高的邻域彩色相关法进行匹配。针对相机平移旋转较小的情况,提出了利用斜率一致性剔除明显的误匹配,然后运用随机抽样算法估计基础矩阵,同时进一步剔除误匹配点对,最后用基础矩阵引导未匹配特征点进行匹配。实验表明,该算法用于三维重建,能够较好地恢复物体的结构,是一种有效的匹配算法。

This paper proposed an stereo matching algorithm for 3D Reconstruction based on uncalibrated color images.First,this algorithm referred a limiting factor to eliminate the clustering phenomenon of Harris corners,and correlative matching method based on color was used for match.Then,removed the obvious outlier points according to the principle of slope consistency,and used RANSAC algorithm to estimate Fundamental matrix,at the same time,excluded outlier points.Finally,found unmatching points by using Fundamental matrix.The experimental results show that object structure can be well reconstructed by using this algorithm,and it is an effective stereo matching algorithm for 3D Reconstruction.