Computer Vision_33_SIFT：Fast Adaptive Bilateral Filtering——2018

此部分是計算機視覺部分，主要側重在底層特征提取，視訊分析，跟蹤，目标檢測和識别方面等方面。對于自己不太熟悉的領域比如錄影機标定和立體視覺，僅僅列出上google上引用次數比較多的文獻。有一些剛剛出版的文章，個人非常喜歡，也列出來了。

33. SIFT

關于SIFT，實在不需要介紹太多，一萬多次的引用已經說明問題了。SURF和PCA-SIFT也是屬于這個系列。後面列出了幾篇跟SIFT有關的問題。

[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

[2012 ECCV] KAZE Features

[2012 ICCV] ORB_An efficient alternative to SIFT or SURF

[2014 CVPR] TILDE: A Temporally Invariant Learned DEtector

[2014 TGRS] A novel coarse-to-fine scheme for automatic image registration based on SIFT and mutual information

[2015 GRSL] An efficient SIFT-based mode-seeking algorithm for sub-pixel registration of remotely sensed images

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

[2016 ECCV] LIFT Learned Invariant Feature Transform

[2016 JVCIR] An Improved RANSAC based on the Scale Variation Homogeneity

[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

[2018 TIP] Fast Adaptive Bilateral Filtering

翻譯

快速自适應雙邊濾波

作者：Ruturaj G. Gavaskar and Kunal N. Chaudhury