SIFT 特征匹配算法是目前国内外特征点匹配研究领域的热点与难点，其匹配能力较强，可以处

理两幅图像之间发生平移、旋转、仿射变换情况下的匹配问题，甚至在某种程度上对任意角度拍摄

的图像也具备较为稳定的特征匹配能力。该算法目前外文资料较多，但中文方面的介绍较少。为此

我撰写了这篇文档，以帮助国内的研究学者尽快入门，以最快的速度去体验

特征匹配算法是目前国内外特征点匹配研究领域的热点与难点，其匹配能力较强，可以处

理两幅图像之间发生平移、旋转、仿射变换情况下的匹配问题，甚至在某种程度上对任意角度拍摄

的图像也具备较为稳定的特征匹配能力。该算法目前外文资料较多，但中文方面的介绍较少。-SIFT feature matching algorithm is the matching feature points at home and abroad a hot area of ​ ​ research and difficult, and its ability to match, between two images can be processed translation, rotation, affine transformation in case of matching problems, and even to some extent on arbitrary angle images also have a more stable feature matching ability. The algorithm is currently foreign materials more, but Chinese is introduced less. To this end I wrote this document to help domestic researchers as quickly as possible, in order to experience the fastest feature matching algorithm is the matching feature points at home and abroad a hot area of ​ ​ research and difficult, and its ability to match, can handle translation between two images, rotation, affine transformation to match the case problems, and even to some extent arbitrary angle images will also have a more stable feature matching ability. The algorithm is currently foreign materials more, but Chinese i