学校大作业，地重叠度图像拼接技术
针对于重叠度低的图像研究基于图像特征匹配的图像拼接，实现多组左右图像对的拼接。
基于Visual Studio2015，OpenCV3.4.0和对应的Contrib3.4.0。 可以直接运行压缩包里的DEBUG里的exe文件。
基于特征点图像拼接算法有基于SIFT（Scale Invariant Feature Transform）特征、SURF（Speeded Up Robust Features）特征。传统的SIFT算法能够提取更多的特征点，匹配精度高，但是特征提取和匹配是运算复杂，时间空间复杂度高。经测试，SURF特征检测虽然速度快但对于课题的低重叠度图像并不适用，综上所述，本文拟采用基于SIFT特征检测算法的进行图像拼接。
特征点提取-->特征点匹配-->图像配准-->图像融合
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