This portion is a part of computer vision, focused primarily on the underlying feature extraction, video analysis, tracking, target detection and recognition aspects like. For example camera calibration and stereo vision're not particularly familiar with the area, the only listed on google relatively large number of citations literature. There are some recently published article, personally like, is also listed.
33. SIFT
on SIFT, really needs no introduction too much, a million times reference has to explain the problem. SURF and PCA-SIFT also belong to this series. Behind it lists several problems with the SIFT related.
[1999 ICCV] Object Recognition from local Scale-invariant Features
[2000 IJCV] Evaluation of Interest Point Detectors
[2003 CVIU] Speeded-Up Robust Features (SURF)
[2004 CVPR] the PCA-SIFT A More Distinctive Representation for Local Image Descriptors
[2004 IJCV] Distinctive Image Features from Scale-Invariant Keypoints
[2010 IJCV] Improving Bag-of-Features for Large Scale Image Search
[2011 PAMI] SIFTflow Dense Correspondence across Scenes and the ITS Applications
translation
The key point of the unique scale-invariant image features -http://tongtianta.site/paper/56811
Author:
Abstract -