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Image-based localization, or camera relocalization, is a fundamental problem in computer vision and robotics, and it refers to estimating camera pose from an image.
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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Long short-term memory
Sepp Hochreiter and Juergen Schmidhuber · 1997
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Distinctive image features from scale-invariant keypoints
David G. Lowe · 2004
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Surf: speeded up robust features
Herbert Bay, Tinne Tuytelaars, and Luc Van Gool · 2006
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Scalable monocular slam
Ethan Eade and Tom Drummond · 2006
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Image based localization in urban environments
Wei Zhang and Jana Kosecka · 2006
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Video-rate localization in multiple maps for wearable augmented reality
Robert Oliver Castle, Georg Klein, and David W. Murray · 2008
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Fab-map: probabilistic localization and mapping in the space of appearance
Mark Cummins and Paul Newman · 2008
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Modeling the world from internet photo collections
Noah Snavely, Steven M. Seitz, and Richard Szeliski · 2008
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From structure-from-motion point clouds to fast location recognition
Arnold Irschara, Christopher Zach, Jan-Michael Frahm, and Horst Bischof · 2009
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Location recognition using prioritized feature matching
Yunpeng Li, Noah Snavely, and Daniel P. Huttenlocher · 2010
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Rectified linear units improve restricted boltzmann machines
Vinod Nair and Geoffrey E. Hinton · 2010
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Dynamic and scalable large scale image reconstruction
Christoph Strecha, Timo Pylvänäinen, and Pascal Fua · 2010
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A novel parametrization of the perspective-three-point problem for a direct computation of absolute camera position and orientation
Laurent Kneip, Davide Scaramuzza, and Roland Siegwart · 2011
Cited alongside, same era.
ORB: an efficient alternative to SIFT or SURF
Ethan Rublee, Vincent Rabaud, Kurt Konolige, and Gary R. Bradski · 2011
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Fast image-based localization using direct 2d-to-3d matching
Torsten Sattler, Bastian Leibe, and Leif Kobbelt · 2011
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Improving image-based localization by active correspondence search
Torsten Sattler, Bastian Leibe, and Leif Kobbelt · 2012
Cited alongside, same era.
Decision Forests for Computer Vision and Medical Image Analysis
Exploiting uncertainty in regression forests for accurate camera relocalization
Julien P. C. Valentin, Matthias Nießner, Jamie Shotton, Andrew W. Fitzgibbon, Shahram Izadi, and Philip H. S. Torr · 2015
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Uncertainty-driven 6d pose estimation of objects and scenes from a single RGB image
Eric Brachmann, Frank Michel, Alexander Krull, Michael Ying Yang, Stefan Gumhold, and Carsten Rother · 2016
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Fast and accurate deep network learning by exponential linear units (elus)
Djork-Arné Clevert, Thomas Unterthiner, and Sepp Hochreiter · 2016
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A large dataset to train convolutional networks for disparity, optical flow, and scene flow estimation
Nikolaus Mayer, Eddy Ilg, Philip Häusser, Philipp Fischer, Daniel Cremers, Alexey Dosovitskiy, and Thomas Brox · 2016
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Structure-from-motion revisited
Johannes L. Schönberger and Jan-Michael Frahm · 2016
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Antonio Criminisi and Jamie Shotton · 2013
Cited alongside, same era.
Scene coordinate regression forests for camera relocalization in rgb-d images
Jamie Shotton, Ben Glocker, Christopher Zach, Shahram Izadi, Antonio Criminisi, and Andrew W. Fitzgibbon · 2013
Cited alongside, same era.
Posenet: a convolutional network for real-time 6-dof camera relocalization
Alex Kendall, Matthew Grimes, and Roberto Cipolla · 2015
Cited alongside, same era.
Fully convolutional networks for semantic segmentation
Jonathan Long, Evan Shelhamer, and Trevor Darrell · 2015
Cited alongside, same era.
Get out of my lab: large-scale, real-time visual-inertial localization
Simon Lynen, Torsten Sattler, Michael Bosse, Joel A. Hesch, Marc Pollefeys, and Roland Siegwart · 2015
Cited alongside, same era.
Going deeper with convolutions
Christian Szegedy, Wei Liu, Yangqing Jia, Pierre Sermanet, Scott E. Reed, Dragomir Anguelov, Dumitru Erhan, Vincent Vanhoucke, and Andrew Rabinovich · 2015
Cited alongside, same era.
Dsac - differentiable ransac for camera localization
Eric Brachmann, Alexander Krull, Sebastian Nowozin, Jamie Shotton, Frank Michel, Stefan Gumhold, and Carsten Rother · 2017
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Geometric loss functions for camera pose regression with deep learning
Alex Kendall and Roberto Cipolla · 2017
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Random forests versus neural networks - what’s best for camera relocalization?
Daniela Massiceti, Alexander Krull, Eric Brachmann, Carsten Rother, and Philip H. S. Torr · 2017
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Image-based localization using hourglass networks
Iaroslav Melekhov, Juha Ylioinas, Juho Kannala, and Esa Rahtu · 2017
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Efficient effective prioritized matching for large-scale image-based localization
Torsten Sattler, Bastian Leibe, and Leif Kobbelt · 2017
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Image-based localization using lstms for structured feature correlation
Florian Walch, Caner Hazirbas, Laura Leal-Taixe, Torsten Sattler, Sebastian Hilsenbeck, and Daniel Cremers · 2017
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