基于小基高比的快速立体匹配方法

为了提高立体匹配效率和获得高精度的亚像素级视差，该文提出一种快速的小基高比立体匹配方法。该方法首先利用积分图像加速自适应窗口和规范互相关度量的计算，然后根据可靠性约束进一步拒绝错误匹配，再采用基于迭代二倍重采样的亚像素级匹配方法为可信点计算亚像素级视差，最后利用基于图分割的视差平面拟合方法获得稠密的亚像素级视差图。实验结果表明该方法不但可获得高精度的亚像素级视差而且还提高了算法的匹配效率，满足了小基高比立体重建的需求。

A Fast Stereo Matching Method Based on Small Baseline

In order to improve the efficiency of stereo matching and obtain high-precision sub-pixel disparity,a fast stereo matching method based on small baseline is proposed.Firstly,integral image is used to speed up the calculation of adaptive window and normalized cross correlation.Secondly,false match is rejected according to the reliability constraints.Thirdly,sub-pixel matching method base on iterative resample-to-twice scheme is utilized to compute sub-pixel disparity for reliable pixels.Finally,the disparity plane fitting method based on image segmentation is employed to obtain dense sub-pixel disparity map.Experimental results show that the proposed algorithm not only attains high-precision sub-pixel disparity,but also boosts the efficiency of the matching algorithm,and meets the requirements of small baseline based three-dimensional reconstruction.