AI-Robotics Summer School Materials

• [Material] FullBooks : eBooks
• [Material] LocalFeatures : From handcraft to deep learning
• [Supp #1] Binary Features : BRIEF, ORB, BRISK, FREAK, BIO
• [Supp #2] Deep Features : DeepCompare, MatchNet, DeepDesc, PN-Net
• Any questions? Email me or write issues. [email protected] / [email protected]

Feature's History

Corner

• [Harris][OpenCV] Harris Corner Detector, 2004 [ppt] York
• [FAST][OpenCV][C++] FAST corner detection, PAMI 2010 [ppt] Cambridge

Conventional Feature

• [SIFT][OpenCV][Vlfeat] Object recognition from local scale-invariant features, ICCV 1999, Lowe
• [SURF][OpenCV] Speeded up robust features, ECCV 2006, ETH
• [DAISY] DAISY: An Efficient Dense Descriptor Applied to Wide Baseline Stereo, PAMI 2010, EPFL

Binary Feature

• [[BRIEF] (http://docs.opencv.org/3.1.0/dc/d7d/tutorial_py_brief.html#gsc.tab=0)][OpenCV] BRIEF: Binary Robust Independent Elementary Features, PAMI2012, ECCV2010, EPFL
• [[ORB] (http://docs.opencv.org/3.1.0/d1/d89/tutorial_py_orb.html#gsc.tab=0)][OpenCV] ORB: An efficient alternative to SIFT or SURF, ICCV 2011, Willowgarage
• [BRISK][OpenCV] BRISK: Binary Robust Invariant Scalable Keypoints, ICCV 2011, Oxford
• [FREAK][OpenCV] FREAK: Fast Retina Keypoint, CVPR 2012, EPFL
• [AKAZE][OpenCV] Fast Explicit Diffusion for Accelerated Features in Nonlinear Scale Spaces, BMVC 2013, GIT
• [BIO][Matlab-mex] Robust Binary Feature using Intensity Order, ACCV2014, KAIST

Intensity based

• [LIOP][Matlab][Vlfeat] Local Intensity Order Pattern for Feature Description, ICCV 2011, CASIA
• [MROGH][Matlab] Aggregating Gradient Distributions into Intensity Orders, CVPR 2011, CASIA

Learning based

• [[D-BREIF] (http://cvlab.epfl.ch/research/detect/dbrief)][Matlab] Efficient Discriminative Projections for Compact Binary Descriptors, ECCV2012, EPFL
• [[BinBOOST] (http://cvlab.epfl.ch/research/detect/binboost)] [BinBoost: Boosting Binary Keypoint Descriptors], EPFL
• [VGG] Learning Local Feature Descriptors Using Convex Optimisation, PAMI 2014, Oxford

Neural Network based

• [DeepCompare][Torch] [Learning to Compare Image Patches via Convolutional Neural Networks, CVPR 2015] (http://arxiv.org/pdf/1504.03641.pdf)
• [MatchNet][Pycaffe] MatchNet: Unifying Feature and Metric Learning for Patch-Based Matching, CVPR2015, Google
• [DeepDesc][Torch] Discriminative Learning of Deep Convolutional Feature Point Descriptors, ICCV 2015, supp, poster, EPFL
• [PN-Net][Torch] PN-Net: Conjoined Triple Deep Network for Learning Local Image Descriptors, Arxiv 2016, Imperial
• [GLoss] Learning Local Image Descriptors with Deep Siamese and Triplet Convolutional Networks by Minimising Global Loss Functions, CVPR 2016, ACRV
• [LIFT][Torch] *LIFT: Learned Invariant Feature Transform, ECCV2016, EPFL

Evalation

• [Detector][Matlab] A comparison of affine region detectors, IJCV 2005, Oxford,
• [Descriptor][Matlab] A performance evaluation of local descriptors, PAMI 2005, Oxford
• [Binary] Comparative Evaluation of Binary Features, ECCV 2012, UNC
• [Orientation] Learning to Assign Orientations to Feature Points, CVPR2016, EPFL
• [Matching] [Evaluation of Local Detectors and Descriptors for Fast Feature Matching, ICPR] (http://www.miksik.co.uk/papers/miksik2012icpr.pdf), Krystian Mikolajczyk

Evaluation Report

• [A battle of three descriptors, 2012] (http://computer-vision-talks.com/2012-08-18-a-battle-of-three-descriptors-surf-freak-and-brisk/)
• [Comparison of the OpenCV’s feature detection algorithms, 2011] (http://computer-vision-talks.com/2011-01-04-comparison-of-the-opencv-feature-detection-algorithms/)
• [Comparison of the OpenCV’s feature detection algorithms – II, 2011] (http://computer-vision-talks.com/2011-07-13-comparison-of-the-opencv-feature-detection-algorithms/)
• [Comparison of feature descriptors, 2011] (http://computer-vision-talks.com/2011-01-28-comparison-of-feature-descriptors/)

Book

• Local Image Descriptor: Modern Approaches, 2015, Bin Fan
• Local Invariant Feature Detectors: A Survey, 2008, Krystian Mikolajczyk

Tutorial

• [Tutorial on Binary Descriptors] BRIEF, ORB, BRISK, FREAK, 2013