基于SIFT特征的图像匹配算法实现

Implementation of Image Matching Algorithm Based on SIFT Feature

针对SIFT算法的工程实现问题,详细分析了该算法原理和执行过程。在对SIFT算法原理进行分析时,充分结合Rob Hess的SIFT源代码,并将SIFT算法应用到实际图像的特征提取和匹配中。实验结果表明,SIFT算法提取的特征点对图像缩放、视点变化等具有很好的适应性和准确性,可以应用到图像识别及图像重建等领域。

With the aim to solve the implement problem in scale invariant feature transform（SIFT） algorithm,the theory and the implementation process was analyzed in detail.The characteristics of the SIFT method were analyzed by theory,combined with the explanation of the Rob Hess SIFT source codes.The effect of the SIFT method was validated by matching two different real images.The matching result shows that the features extracted by SIFT method have excellent adaptive and accurate characteristics to image scale,viewpoint change,which are useful for the fields of image recognition,image reconstruction,etc.