[2011 IJCV] Evaluation of Interest Point Detectors and Feature Descriptors
14. Feature Matching Fua课题组在今年PAMI上的一篇文章，感觉还不错[2012 PAMI] LDAHash Improved Matching with Smaller Descriptors
15. Harris 虽然过去了很多年，Harris角点检测仍然广泛使用，而且基于它有很多变形。如果仔细看了这种方法，从直观也可以感觉到这是一种很稳健的方法。[1988 Harris] A combined corner and edge detector
16. Histograms of Oriented Gradients HoG方法也在OpenCV中实现了：HOGDescriptor。[2005 CVPR] Histograms of Oriented Gradients for Human Detection
NavneetDalalThesis.pdf
17. Image Distance[1993 PAMI] Comparing Images Using the Hausdorff Distance
18. Image Stitching 图像拼接，另一个相关的词是Panoramic。在Computer Vision: Algorithms and Applications一书中，有专门一章是讨论这个问题。这里的两面文章一篇是综述，一篇是这方面很经典的文章。[2006 Fnd] Image Alignment and Stitching A Tutorial
[2007 IJCV] Automatic Panoramic Image Stitching using Invariant Features
19. KLT KLT跟踪算法，基于Lucas-Kanade提出的配准算法。除了三篇很经典的文章，最后一篇给出了OpenCV实现KLT的细节。[1981] An Iterative Image Registration Technique with an Application to Stereo Vision full version
[1994 CVPR] Good Features to Track
[2004 IJCV] Lucas-Kanade 20 Years On A Unifying Framework
Pyramidal Implementation of the Lucas Kanade Feature Tracker OpenCV
20. Local Binary Pattern LBP。OpenCV的Cascade分类器也支持LBP，用来取代Haar特征。[2002 PAMI] Multiresolution gray-scale and rotation Invariant Texture Classification with Local Binary Patterns
[2004 ECCV] Face Recognition with Local Binary Patterns
[2006 PAMI] Face Description with Local Binary Patterns
[2011 TIP] Rotation-Invariant Image and Video Description With Local Binary Pattern Features
21. Low-Level Vision 关于Low level vision的两篇很不错的文章[1998 TIP] A general framework for low level vision
[2000 IJCV] Learning Low-Level Vision
22. Mean Shift 均值漂移算法，在跟踪中非常流行的方法。Comaniciu在这个方面做出了重要的贡献。最后三篇，一篇是CVIU上的top download文章，一篇是最新的PAMI上关于Mean Shift的文章，一篇是OpenCV实现的文章。[1995 PAMI] Mean shift, mode seeking, and clustering
[2002 PAMI] Mean shift a robust approach toward feature space analysis
[2003 CVPR] Mean-shift blob tracking through scale space
[2009 CVIU] Object tracking using SIFT features and mean shift
[2012 PAMI] Mean Shift Trackers with Cross-Bin Metrics
OpenCV Computer Vision Face Tracking For Use in a Perceptual User Interface
23. MSER 这篇文章发表在2002年的BMVC上，后来直接录用到2004年的IVC上，内容差不多。MSER在Sonka的书里面也有提到。[2002 BMVC] Robust Wide Baseline Stereo from Maximally Stable Extremal Regions
[2003] MSER Author Presentation
[2004 IVC] Robust wide-baseline stereo from maximally stable extremal regions
[2011 PAMI] Are MSER Features Really Interesting
24. Object Detection 首先要说的是第一篇文章的作者，Kah-Kay Sung。他是MIT的博士，后来到新加坡国立任教，极具潜力的一个老师。不幸的是，他和他的妻子都在2000年的新加坡空难中遇难，让人唏嘘不已。
最后一篇文章也是Fua课题组的，作者给出的demo效果相当好。
[1998 PAMI] Example-based learning for view-based human face detection
[2003 IJCV] Learning the Statistics of People in Images and Video
[2011 PAMI] Learning to Detect a Salient Object