写的太好了，转载至：https://blog.csdn.net/zddmail/article/details/7521424
参考资料
1、David G.Lowe Distinctive Image Features from Scale-Invariant Keypoints. January 5, 2004.
2、David G.Lowe Object Recognition from Local Scale-Invariant Features. 1999
3、Matthew Brown and David Lowe Invariant Features from Interest Point Groups. In British Machine Vision Conference, Cardiff, Wales, pp. 656-665.
4、PETER J. BURT, MEMBER, IEEE, AND EDWARD H. ADELSON, The Laplacian Pyramid as a Compact Image Code. IEEE TRANSACTIONS ON COMMUNICATIONS, VOL. COM-3l, NO. 4, APRIL 1983
5、宋丹 10905056 尺度不变特征变换匹配算法Scale Invariant Feature Transform （SIFT）(PPT)
6、RaySaint 的博客SIFT算法研究http://underthehood.blog.51cto.com/2531780/658350
7、Jason Clemons SIFT: SCALE INVARIANT FEATURE TRANSFORM BY DAVID LOWE(ppt)
8、Tony Lindeberg Scale-space theory: A basic tool for analysing structures at different scales.1994
9、SIFT官网的Rob Hess [email protected] SIFT源码
10、Opencv2.2 Andrea Vedaldi(UCLA VisionLab)实现的SIFT源码 http://www.vlfeat.org/~vedaldi/code/siftpp.html, opencv2.3改用Rob Hess的源码
11、科学计算中的偏微分方程有限差分法 杨乐主编
12、维基百科SIFT词条：http://zh.wikipedia.org/zh-cn/Scale-invariant_feature_transform
13、百度百科SIFT词条：http://baike.baidu.com/view/2832304.htm
14、其它互联网资料
附录1 高斯模糊源码
http://blog.csdn.net/zddmail/article/details/7450033
http://download.csdn.net/detail/zddmail/4217704
附录2 SIFT算法源码
http://download.csdn.net/detail/zddmail/4309418