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中文摘要：
SIFT特征匹配算法的原理在于生成特征点的SIFT特征向量，通过对特征向量之间的匹配来实现图像之间的匹配。SIFT特征是一种尺度不变的局部图像特征，阐述生成SIFT特征向量的具体过程，包含尺度空间构建、关键点的检测和精确定位、关键点方向向量的确定和最终SIFT特征描述子的形成等步骤，以及根据形成的特征描述子进行图像的匹配。根据实验结果得出SIFT算法可以有效准确地实现图像之间的匹配。
英文摘要：
The principle of SIFT feature matching algorithm is to generate SIFT feature vector of the characteristic points, through the matching of feature vector to realize the matching of the images. SIFT feature is a kind of local image characteristics which is invariant to image scale. Expounds the specific process of how SIFT feature vector is generated, including the building of the scale space, the detection of the key points and accurately positioning these points, determines the direction of the feature vector, and finally form the SIFT features vector and according to the vector to realize the image matching. According to the experimental results it is concluded that SIFT algorithm can effectively and accurately realize the matching of images.
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