Computer Vision_33_SIFT

此部分是计算机视觉部分，主要侧重在底层特征提取，视频分析，跟踪，目标检测和识别方面等方面。对于自己不太熟悉的领域比如摄像机标定和立体视觉，仅仅列出上google上引用次数比较多的文献。有一些刚刚出版的文章，个人非常喜欢，也列出来了。

33. SIFT

关于SIFT，实在不需要介绍太多，一万多次的引用已经说明问题了。SURF和PCA-SIFT也是属于这个系列。后面列出了几篇跟SIFT有关的问题。

[1999 ICCV] Object recognition from local scale-invariant features

[2000 IJCV] Evaluation of Interest Point Detectors

[2006 CVIU] Speeded-Up Robust Features (SURF)

[2004 CVPR] PCA-SIFT A More Distinctive Representation for Local Image Descriptors

[2004 IJCV] Distinctive Image Features from Scale-Invariant Keypoints

[2009 GRSL] Robust scale-invariant feature matching for remote sensing image registration

[2010 IJCV] Improving Bag-of-Features for Large Scale Image Search

[2011 PAMI] SIFTflow Dense Correspondence across Scenes and its Applications

[2014 CVPR] TILDE: A Temporally Invariant Learned DEtector

[2015 TGRS] SAR-SIFT: A SIFT-LIKE ALGORITHM FOR SAR IMAGES

[2017 GRSL] Remote Sensing Image Registration With Modified SIFT and Enhanced Feature Matching

[2017 CVPR] GMS :Grid-based Motion Statistics for Fast, Ultra-robust Feature Correspondence

翻译

鲁棒的尺度不变特征匹配，用于遥感图像配准

作者：Qiaoliang Li, Guoyou Wang, Jianguo Liu