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The extraction and matching of interest points is a prerequisite for many geometric computer vision problems.
Obstacle Avoidance and Navigation in the Real World by Seeing Robot Rover
H. P. Moravec · 1980
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Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography
Martin A. Fischler and Robert C. Bolles · 1981
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Determining optical flow
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An iterative image registration technique with an application to stereo vision
Bruce D. Lucas and Takeo Kanade · 1981
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Chris Harris and Mike Stephens · 1988
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Complete solution classification for the perspective-three-point problem
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J. Sivic and A. Zisserman · 2003
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Distinctive image features from scale-invariant keypoints
David G. Lowe · 2004
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Scale & affine invariant interest point detectors
K. Mikolajczyk and C. Schmid · 2004
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Machine learning for high-speed corner detection
Edward Rosten and Tom Drummond · 2006
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SURF: Speeded up robust features
H. Bay, A. Ess, T. Tuytelaars, and L. Van Gool · 2007
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Product quantization for nearest neighbor search
Herve Jegou, Matthijs Douze, and Cordelia Schmid · 2010
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BRISK: Binary robust invariant scalable keypoints
S. Leutenegger, M. Chli, and R.Y. Siegwart · 2011
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ORB: An efficient alternative to SIFT or SURF
E. Rublee, V. Rabaud, K. Konolige, and G. Bradski · 2011
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M. Calonder, V. Lepetit, M. Ozuysal, T. Trzcinski, C. Strecha, and P. Fua · 2012
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MatchNet: Unifying feature and metric learning for patch-based matching
Xufeng Han, Thomas Leung, Yangqing Jia, Rahul Sukthankar, and Alexander C. Berg · 2015
HPatches: A benchmark and evaluation of handcrafted and learned local descriptors
Vassileios Balntas, Karel Lenc, Andrea Vedaldi, and Krystian Mikolajczyk · 2017
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Direct Sparse Odometry
Jakob Engel, Vladlen Koltun, and Daniel Cremers · 2017
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Efficient descriptor learning for large scale localization
Antonio Loquercio, Marcin Dymczyk, Bernhard Zeisl, Simon Lynen, Igot Gilitschenski, and Roland Siegwart · 2017
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Working hard to know your neighbors margins: Local descriptor learning loss
Anastasiia Mishchuk, Dmytro Mishkin, Filip Radenovic, and Jir̆i Matas · 2017
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Quad-networks: Unsupervised learning to rank for interest point detection
Nikolay Savinov, Akihito Seki, L’ubor Ladický, Torsten Sattler, and Marc Pollefeys · 2017
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Comparative evaluation of hand-crafted and learned local features
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Discriminative learning of deep convolutional feature point descriptors
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Learning to compare image patches via convolutional neural networks
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Johannes L. Schonberger, Hans Hardmeier, Torsten Sattler, and Marc Pollefeys · 2017
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SuperPoint: Self-supervised interest point detection and description
Daniel DeTone, Tomasz Malisiewicz, and Andrew Rabinovich · 2018
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Learning deep descriptors with scale-aware triplet networks
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Neighbourhood consensus networks
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