Sift算法和FAST、Fast-er算法论文及代码

Sift算法

Sift算法即尺度不变特征变换（Scale-invariant feature transform,SIFT）。可以在作者主页上找到其原文及代码----https://www.cs.ubc.ca/~lowe/keypoints/
【1】David G. Lowe, “Distinctive image features from scale-invariant keypoints,” International Journal of Computer Vision, 60, 2 (2004), pp. 91-110.pdf
【2】David G. Lowe, “Object recognition from local scale-invariant features,” International Conference on Computer Vision, Corfu, Greece (September 1999), pp. 1150-1157.pdf
【3】以及SIFT demo program (Version 4, July 2005). 代码

Fast、Fast-er算法

Fast以及Fast-er算法即快速特征检测算法（Features from Accelerated Segment Test, FAST）。可以在作者主页上找到其原文及代码----http://www.edwardrosten.com/index.html
【1】Rosten E , Porter R , Drummond T . Faster and better: a machine learning approach to corner detection[J]. IEEE Trans Pattern Anal Mach Intell, 2008, 32(1):105-119.pdf，该论文对应代码
【2】Rosten E . Machine learning for high-speed corner detection[C]// European Conference on Computer Vision, 2006. Springer-Verlag, 2006.pdf，该论文对应代码代码

注意

在写博客的时候，一定要注上自己引用的论文，如果有链接地址尽量附上。方便别人查找！另附上一篇图像拼接技术综述论文：Ghosh D , Kaabouch N . A survey on image mosaicing techniques.[J]. Journal of Visual Communication & Image Representation, 2016, 34©:1-11.pdf