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Machine learning techniques, namely convolutional neural networks (CNN) and regression forests, have recently shown great promise in performing 6-DoF localization of monocular images.
Mixture density networks
C. M. Bishop · 1994
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Long short-term memory
S. Hochreiter and J. Schmidhuber · 1997
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Bidirectional recurrent neural networks
M. Schuster and K. K. Paliwal · 1997
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Particle filters for positioning, navigation, and tracking
F. Gustafsson, F. Gunnarsson, N. Bergman, U. Forssell, J. Jansson, R. Karlsson, and P.-J. Nordlund · 2002
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Image based localization in urban environments
W. Zhang and J. Kosecka · 2006
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Hidden markov map matching through noise and sparseness
P. Newson and J. Krumm · 2009
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Kinectfusion: Real-time dense surface mapping and tracking
R. A. Newcombe, S. Izadi, O. Hilliges, D. Molyneaux, D. Kim, A. J. Davison, P. Kohi, J. Shotton, S. Hodges, and A. Fitzgibbon · 2011
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Fast image-based localization using direct 2d-to-3d matching
T. Sattler, B. Leibe, and L. Kobbelt · 2011
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Improving image-based localization by active correspondence search
T. Sattler, B. Leibe, and L. Kobbelt · 2012
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J. Shotton, B. Glocker, C. Zach, S. Izadi, A. Criminisi, and A. Fitzgibbon · 2013
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Video registration to sfm models
T. Kroeger and L. Van Gool · 2014
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Scalable 6-dof localization on mobile devices
S. Middelberg, T. Sattler, O. Untzelmann, and L. Kobbelt · 2014
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Cnn features off-the-shelf: an astounding baseline for recognition
A. Sharif Razavian, H. Azizpour, J. Sullivan, and S. Carlsson · 2014
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Very deep convolutional networks for large-scale image recognition
Bayesian convolutional neural networks with bernoulli approximate variational inference
Y. Gal and Z. Ghahramani · 2015
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Posenet: A convolutional network for real-time 6-dof camera relocalization
A. Kendall, M. Grimes, and R. Cipolla · 2015
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Place recognition with convnet landmarks: Viewpoint-robust, condition-robust, training-free
N. Sunderhauf, S. Shirazi, A. Jacobson, F. Dayoub, E. Pepperell, B. Upcroft, and M. Milford · 2015
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Going deeper with convolutions
C. Szegedy, W. Liu, Y. Jia, P. Sermanet, S. Reed, D. Anguelov, D. Erhan, V. Vanhoucke, and A. Rabinovich · 2015
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Shapefit and shapekick for robust, scalable structure from motion
T. Goldstein, P. Hand, C. Lee, V. Voroninski, and S. Soatto · 2016
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K. Simonyan and A. Zisserman · 2014
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Learning deep features for scene recognition using places database
B. Zhou, A. Lapedriza, J. Xiao, A. Torralba, and A. Oliva · 2014
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Logo recognition using cnn features
S. Bianco, M. Buzzelli, D. Mazzini, and R. Schettini · 2015
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1 Year, 1000km: The Oxford RobotCar Dataset
W. Maddern, G. Pascoe, C. Linegar, and P. Newman
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Modelling uncertainty in deep learning for camera relocalization
A. Kendall and R. Cipolla · 2016
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Vinet: Visual-inertial odometry as a sequence-to-sequence learning problem
R. Clark, S. Wang, H. Wen, A. Markham, and N. Trigoni · 2017
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