原版的SIFT算法。SIFT，即尺度不变特征变换（Scale-invariant feature transform，SIFT），是用于图像处理领域的一种描述。这种描述具有尺度不变性，可在图像中检测出关键点，是一种局部特征描述子。　该方法于1999年由David Lowe　首先发表于计算机视觉国际会议（International Conference on Computer Vision，ICCV），2004年再次经David Lowe整理完善后发表于International journal of computer vision（IJCV） 。截止2014年8月，该论文单篇被引次数达25000余次(SIFT, the scale invariant feature transform (Scale-invariant feature transform, SIFT), is a descr iption for image processing This descr iption is scale invariant, and it can detect key points in images. It is a local feature descr iptor. The method was first published by David Lowe in International Conference on Computer Vision (ICCV) in 1999. In 2004, it was finished by David Lowe again and was published in International Journal of computer vision (IJCV). As of August 2014, the citation number is more than 25000 times)