PoseNet: A Convolutional Network for Real-Time 6-DOF Camera Relocalization

Keywords

Artificial intelligence, Computer science, Computer vision, Intrinsics, Convolutional neural network

References

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• CNN Features Off-the-Shelf: An Astounding Baseline for RecognitionAli Sharif Razavian, Hossein Azizpour, Josephine Sullivan — 2014
• Going deeper with convolutionsChristian Szegedy, Wei Liu, Yangqing Jia — 2014
• Towards Linear-Time Incremental Structure from MotionChangchang Wu — 2013
• DTAM: Dense tracking and mapping in real-timeRichard A. Newcombe, Steven Lovegrove, Andrew J. Davison — 2011
• ImageNet: A large-scale hierarchical image databaseJia Deng, Wei Dong, Richard Socher — 2009
• DeepPose: Human Pose Estimation via Deep Neural NetworksAlexander Toshev, Christian Szegedy — 2013
• Coarse-to-fine vision-based localization by indexing scale-Invariant featuresJunqiu Wang, Hongbin Zha, Roberto Cipolla — 2006
• Learning Deep Features for Scene Recognition using Places DatabaseBolei Zhou, Àgata Lapedriza, Jianxiong Xiao — 2014
• FAB-MAP: Probabilistic Localization and Mapping in the Space of AppearanceMark Cummins, Paul Newman — 2008
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• Photo tourismNoah Snavely, Steven M. Seitz, Richard Szeliski — 2006
• Learning and Transferring Mid-level Image Representations Using Convolutional Neural NetworksMaxime Oquab, Léon Bottou, Ivan Laptev — 2014

Cited by

• NetVLAD: CNN Architecture for Weakly Supervised Place RecognitionRelja Arandjelović, Petr Gronát, Akihiko Torii — 2015
• Modelling uncertainty in deep learning for camera relocalizationAlex Kendall, Roberto Cipolla — 2015
• Learning to Navigate the Energy LandscapeJulien Valentin, Angela Dai, Matthias Nießner — 2016
• DeepSymmetry: Joint Symmetry and Depth Estimation using Deep Neural NetworksGuilin Liu, Chao Yang, Zimo Li — 2016
• Symmetry-aware Depth Estimation using Deep Neural NetworksGuilin Liu, Chao Yang, Zimo Li — 2016
• Past, Present, and Future of Simultaneous Localization and Mapping: Toward the Robust-Perception AgeCesar Cadena, Luca Carlone, Henry Carrillo — 2016
• Uncertainty-Driven 6D Pose Estimation of Objects and Scenes from a Single RGB ImageEric Brachmann, Frank Michel, Alexander Krull — 2016
• Siamese Regression Networks with Efficient mid-level Feature Extraction for 3D Object Pose EstimationAndreas Doumanoglou, Vassileios Balntas, Rigas Kouskouridas — 2016
• Random forests versus Neural Networks — What's best for camera localization?Daniela Massiceti, Alexander Krull, Eric Brachmann — 2016
• Indoor Space Recognition using Deep Convolutional Neural Network: A Case Study at MIT CampusFan Zhang, Fábio Duarte, Ruixian Ma — 2016
• Trajectory-Based Place-Recognition for Efficient Large Scale LocalizationSimon Lynen, Michael Bosse, Roland Siegwart — 2017
• Where should cameras look at soccer games: Improving smoothness using the overlapped hidden Markov modelJianhui Chen, James J. Little — 2017
• Efficient Global Indoor Localization for Micro Aerial VehiclesVolker Strobel, R.S. Meertens, Guido de Croon — 2016
• Night-time indoor relocalization using depth image with Convolutional Neural NetworksRuihao Li, Qiang Liu, Jianjun Gui — 2016
• Towards Lifelong Self-Supervision: A Deep Learning Direction for RoboticsJay Ming Wong — 2016
• Reducing drift in visual odometry by inferring sun direction using a Bayesian Convolutional Neural NetworkValentin Peretroukhin, Lee Clement, Jonathan Kelly — 2016
• Image-based Localization with Spatial LSTMsFlorian Walch, Caner Hazırbaş, Laura Leal-Taixé — 2016
• DSAC — Differentiable RANSAC for Camera LocalizationEric Brachmann, Alexander Krull, Sebastian Nowozin — 2016
• Fusion of Magnetic and Visual Sensors for Indoor Localization: Infrastructure-Free and More EffectiveZhenguang Liu, Luming Zhang, Qi Liu — 2017
• HS-Nets: Estimating Human Body Shape from Silhouettes with Convolutional Neural NetworksEndri Dibra, Himanshu Jain, Cengiz Öztireli — 2016

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