Sift是David Lowe于1999年提出的局部特征描述子，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，具有良好的不变性和很强的匹配能力。SIFT算法是一种提取局部特征的算法，也是一种模式识别技术，其基本思想是在尺度空间寻找极值点，提取位置，尺度，旋转不变量

基于SIFT的OpenCV双目立体匹配系统，VS2013MFC 实现

4包含了具体的代码和完整注释解释

特征点检测与匹配，SIFT算法的纯MATLAB源程序，原理一清二楚

opencv实现的SIFT算法源码，包含图像的SIFT特征提取算法，以及图像之间的基于SIFT特征的匹配算法

多幅图像拼接，虚拟漫游实现。这里只是运行程序，源代码等改完后上传。

An entire optimised SIFT algorithm has been proposed for FPGA based real-time image matching applications in this paper. Not only has the corresponding software model been built up, but the key part of the optimized SIFT algorithm,which is the SIFT feature detection module, has also been implemented on a Xilinx Virtex-5 FPGA. It has been confirmed from the standard test that our SIFT feature detection module is able to extract features from a typical image of 640x480 pixels with 31 ms, which is faster than any existing systems. It can be seen from the matching performance comparison that our optimized SIFT algorithm has achieved a similar level to SURF, which is one of the well recognized image matching algorithms.

这是在论文网站上找到的源码经过OpenCV包装的Demo，提供了类似OpenCV中检测接口，只是作为Demo查看检测效果使用，故功能不够完善。

运用harris算法对两幅图像进行图像匹配，然后由ransac算法对误匹配的特征点进行校正.

PopSift是在CUDA中SIFT算法的一种实现