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Semantic 2D maps are commonly used by humans and machines for navigation purposes, whether it's walking or driving.
A solution for the best rotation to relate two sets of vectors
Wolfgang Kabsch · 1976
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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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Locally Optimized RANSAC
Ondřej Chum, Jiří Matas, and Josef Kittler · 2003
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Distinctive Image Features from Scale-Invariant Keypoints
David G Lowe · 2004
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Matching with PROSAC – Progressive Sample Consensus
Ondřej Chum and Jiří Matas · 2005
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Two-view geometry estimation unaffected by a dominant plane
Ondřej Chum, Tomas Werner, and Jiří Matas · 2005
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Visualizing data using t-SNE
Laurens Van der Maaten and Geoffrey Hinton · 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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Bundle Adjustment in the Large
Sameer Agarwal, Noah Snavely, Steven M Seitz, and Richard Szeliski · 2010
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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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Three things everyone should know to improve object retrieval
Relja Arandjelović and Andrew Zisserman · 2012
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Improving Image-Based Localization by Active Correspondence Search
Torsten Sattler, Bastian Leibe, and Leif Kobbelt · 2012
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Street View Motion-from-Structure-from-Motion
Bryan Klingner, David Martin, and James Roseborough · 2013
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Adam: A Method for Stochastic Optimization
Diederik P Kingma and Jimmy Ba · 2014
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Dropout: A Simple Way to Prevent Neural Networks from Overfitting
Nitish Srivastava, Geoffrey Hinton, Alex Krizhevsky, Ilya Sutskever, and Ruslan Salakhutdinov · 2014
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Reconstructing the World* in Six Days *(As Captured by the Yahoo 100 Million Image Dataset)
Jared Heinly, Johannes L. Schonberger, Enrique Dunn, and Jan-Michael Frahm · 2015
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U-Net: Convolutional networks for biomedical image segmentation
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
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Efficient Computation of Absolute Pose for Gravity-Aware Augmented Reality
Chris Sweeney, John Flynn, Benjamin Nuernberger, Matthew Turk, and Tobias Höllerer · 2015
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Camera Pose Voting for Large-Scale Image-Based Localization
Bernhard Zeisl, Torsten Sattler, and Marc Pollefeys · 2015
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Structure-from-Motion Revisited
Johannes Schönberger and Jan-Michael Frahm · 2016
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LIFT: Learned Invariant Feature Transform
Kwang Moo Yi, Eduard Trulls, Vincent Lepetit, and Pascal Fua · 2016
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Feature Pyramid Networks for Object Detection
Tsung-Yi Lin, Piotr Dollár, Ross Girshick, Kaiming He, Bharath Hariharan, and Serge Belongie · 2017
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Working hard to know your neighbor’s margins: Local descriptor learning loss
Anastasiia Mishchuk, Dmytro Mishkin, Filip Radenovic, and Jiří Matas · 2017
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City-Scale Localization for Cameras with Known Vertical Direction
Linus Svärm, Olof Enqvist, Fredrik Kahl, and Magnus Oskarsson · 2017
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Sampling Matters in Deep Embedding Learning
Chao-Yuan Wu, R Manmatha, Alexander J Smola, and Philipp Krahenbuhl · 2017
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Learning to Localize Using a LiDAR Intensity Map
Ioan Andrei Barsan, Shenlong Wang, Andrei Pokrovsky, and Raquel Urtasun · 2018
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JAX: composable transformations of Python+NumPy programs
James Bradbury, Roy Frostig, Peter Hawkins, Matthew James Johnson, Chris Leary, Dougal Maclaurin, George Necula, Adam Paszke, Jake VanderPlas, Skye Wanderman-Milne, and Qiao Zhang · 2018
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Geometry-Aware Recurrent Neural Networks for Active Visual Recognition
Ricson Cheng, Ziyan Wang, and Katerina Fragkiadaki · 2018
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Mapping stories with a new Street View Trekker
Danny Cheung · 2018
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SuperPoint: Self-Supervised Interest Point Detection and Description
Daniel DeTone, Tomasz Malisiewicz, and Andrew Rabinovich · 2018
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3D Semantic Segmentation with Submanifold Sparse Convolutional Networks
Benjamin Graham, Martin Engelcke, and Laurens van der Maaten · 2018
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MapNet: An Allocentric Spatial Memory for Mapping Environments
Joao F Henriques and Andrea Vedaldi · 2018
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Representation Learning with Contrastive Predictive Coding
Aaron van den Oord, Yazhe Li, and Oriol Vinyals · 2018
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Benchmarking 6DOF Outdoor Visual Localization in Changing Conditions
Torsten Sattler, Will Maddern, Carl Toft, Akihiko Torii, Lars Hammarstrand, Erik Stenborg, Daniel Safari, Masatoshi Okutomi, Marc Pollefeys, Josef Sivic, Fredrik Kahl, and Tomas Pajdla · 2018
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Semantic Visual Localization
Johannes L Schönberger, Marc Pollefeys, Andreas Geiger, and Torsten Sattler · 2018
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Semantic Match Consistency for Long-Term Visual Localization
Carl Toft, Erik Stenborg, Lars Hammarstrand, Lucas Brynte, Marc Pollefeys, Torsten Sattler, and Fredrik Kahl · 2018
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MVSNet: Depth Inference for Unstructured Multi-view Stereo
Yao Yao, Zixin Luo, Shiwei Li, Tian Fang, and Long Quan · 2018
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Learning to Find Good Correspondences
Kwang Moo Yi, Eduard Trulls, Yuki Ono, Vincent Lepetit, Mathieu Salzmann, and Pascal Fua · 2018
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A Geometric Approach to Obtain a Bird’s Eye View From an Image
Ammar Abbas and Andrew Zisserman · 2019
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SemanticKITTI: A Dataset for Semantic Scene Understanding of LiDAR Sequences
Jens Behley, Martin Garbade, Andres Milioto, Jan Quenzel, Sven Behnke, Cyrill Stachniss, and Jurgen Gall · 2019
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Neural-Guided RANSAC: Learning Where to Sample Model Hypotheses
Eric Brachmann and Carsten Rother · 2019
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D2-Net: A Trainable CNN for Joint Detection and Description of Local Features
Mihai Dusmanu, Ignacio Rocco, Tomas Pajdla, Marc Pollefeys, Josef Sivic, Akihiko Torii, and Torsten Sattler · 2019
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Beyond Cartesian Representations for Local Descriptors
Patrick Ebel, Anastasiia Mishchuk, Kwang Moo Yi, Pascal Fua, and Eduard Trulls · 2019
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Quantifying the Carbon Emissions of Machine Learning
Alexandre Lacoste, Alexandra Luccioni, Victor Schmidt, and Thomas Dandres · 2019
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Fine-Grained Segmentation Networks: Self-Supervised Segmentation for Improved Long-Term Visual Localization
How Privacy-Preserving are Line Clouds? Recovering Scene Details from 3D Lines
Kunal Chelani, Fredrik Kahl, and Torsten Sattler · 2021
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Cross-Descriptor Visual Localization and Mapping
Mihai Dusmanu, Ondrej Miksik, Johannes L Schönberger, and Marc Pollefeys · 2021
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Learning 3D Semantic Segmentation with only 2D Image Supervision
Kyle Genova, Xiaoqi Yin, Abhijit Kundu, Caroline Pantofaru, Forrester Cole, Avneesh Sud, Brian Brewington, Brian Shucker, and Thomas Funkhouser · 2021
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COTR: Correspondence Transformer for Matching Across Images
Wei Jiang, Eduard Trulls, Jan Hosang, Andrea Tagliasacchi, and Kwang Moo Yi · 2021
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Image Matching across Wide Baselines: From Paper to Practice
Yuhe Jin, Dmytro Mishkin, Anastasiia Mishchuk, Jiří Matas, Pascal Fua, Kwang Moo Yi, and Eduard Trulls · 2021
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CoCoNets: Continuous Contrastive 3D Scene Representations
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Måns Larsson, Erik Stenborg, Carl Toft, Lars Hammarstrand, Torsten Sattler, and Fredrik Kahl · 2019
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Revealing Scenes by Inverting Structure from Motion Reconstructions
Francesco Pittaluga, Sanjeev J Koppal, Sing Bing Kang, and Sudipta N Sinha · 2019
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R2D2: Repeatable and Reliable Detector and Descriptor
Jerome Revaud, Philippe Weinzaepfel, César Roberto de Souza, and Martin Humenberger · 2019
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Orthographic Feature Transform for Monocular 3D Object Detection
Thomas Roddick, Alex Kendall, and Roberto Cipolla · 2019
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From Coarse to Fine: Robust Hierarchical Localization at Large Scale
Paul-Edouard Sarlin, Cesar Cadena, Roland Siegwart, and Marcin Dymczyk · 2019
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Privacy Preserving Image-Based Localization
Pablo Speciale, Johannes L Schonberger, Sing Bing Kang, Sudipta N Sinha, and Marc Pollefeys · 2019
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TensorFlow Datasets, a collection of ready-to-use datasets
TensorFlow Datasets · 2019
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Shamit Lal, Mihir Prabhudesai, Ishita Mediratta, Adam W Harley, and Katerina Fragkiadaki · 2021
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Pixel-Perfect Structure-from-Motion with Featuremetric Refinement
Philipp Lindenberger, Paul-Edouard Sarlin, Viktor Larsson, and Marc Pollefeys · 2021
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MegLoc: A Robust and Accurate Visual Localization Pipeline
Shuxue Peng, Zihang He, Haotian Zhang, Ran Yan, Chuting Wang, Qingtian Zhu, and Xiao Liu · 2021
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Back to the Feature: Learning Robust Camera Localization from Pixels to Pose
Paul-Edouard Sarlin, Ajaykumar Unagar, Måns Larsson, Hugo Germain, Carl Toft, Victor Larsson, Marc Pollefeys, Vincent Lepetit, Lars Hammarstrand, Fredrik Kahl, and Torsten Sattler · 2021
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Neural Geometric Level of Detail: Real-time Rendering with Implicit 3D Shapes
Towaki Takikawa, Joey Litalien, Kangxue Yin, Karsten Kreis, Charles Loop, Derek Nowrouzezahrai, Alec Jacobson, Morgan McGuire, and Sanja Fidler · 2021
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IBRNet: Learning Multi-View Image-Based Rendering
Qianqian Wang, Zhicheng Wang, Kyle Genova, Pratul P Srinivasan, Howard Zhou, Jonathan T Barron, Ricardo Martin-Brualla, Noah Snavely, and Thomas Funkhouser · 2021
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Reference Pose Generation for Long-term Visual Localization via Learned Features and View Synthesis
Zichao Zhang, Torsten Sattler, and Davide Scaramuzza · 2021
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Progressive Correspondence Pruning by Consensus Learning
Chen Zhao, Yixiao Ge, Feng Zhu, Rui Zhao, Hongsheng Li, and Mathieu Salzmann · 2021
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MonoScene: Monocular 3D Semantic Scene Completion
Anh-Quan Cao and Raoul de Charette · 2022
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Scenic: A JAX Library for Computer Vision Research and Beyond
Mostafa Dehghani, Alexey Gritsenko, Anurag Arnab, Matthias Minderer, and Yi Tay · 2022
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Privacy Preserving Partial Localization
Marcel Geppert, Viktor Larsson, Johannes L Schönberger, and Marc Pollefeys · 2022
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Masked Autoencoders Are Scalable Vision Learners
Kaiming He, Xinlei Chen, Saining Xie, Yanghao Li, Piotr Dollár, and Ross Girshick · 2022
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BEVFormer: Learning Bird’s-Eye-View Representation From Multi-Camera Images Via Spatiotemporal Transformers
Zhiqi Li, Wenhai Wang, Hongyang Li, Enze Xie, Chonghao Sima, Tong Lu, Yu Qiao, and Jifeng Dai · 2022
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Instant Neural Graphics Primitives with a Multiresolution Hash Encoding
Thomas Müller, Alex Evans, Christoph Schied, and Alexander Keller · 2022
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NinjaDesc: Content-Concealing Visual Descriptors via Adversarial Learning
Tony Ng, Hyo Jin Kim, Vincent T Lee, Daniel DeTone, Tsun-Yi Yang, Tianwei Shen, Eddy Ilg, Vassileios Balntas, Krystian Mikolajczyk, and Chris Sweeney · 2022
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Translating Images into Maps
Avishkar Saha, Oscar Mendez, Chris Russell, and Richard Bowden · 2022
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Scene Representation Transformer: Geometry-Free Novel View Synthesis Through Set-Latent Scene Representations
Mehdi S. M. Sajjadi, Henning Meyer, Etienne Pot, Urs Bergmann, Klaus Greff, Noha Radwan, Suhani Vora, Mario Lucic, Daniel Duckworth, Alexey Dosovitskiy, Jakob Uszkoreit, Thomas Funkhouser, and Andrea Tagliasacchi · 2022
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LaMAR: Benchmarking Localization and Mapping for Augmented Reality
Paul-Edouard Sarlin, Mihai Dusmanu, Johannes L. Schönberger, Pablo Speciale, Lukas Gruber, Viktor Larsson, Ondrej Miksik, and Marc Pollefeys · 2022
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SimpleRecon: 3D reconstruction without 3D convolutions
Mohamed Sayed, John Gibson, Jamie Watson, Victor Prisacariu, Michael Firman, and Clément Godard · 2022
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Seeing 3D Objects in a Single Image via Self-Supervised Static-Dynamic Disentanglement
Prafull Sharma, Ayush Tewari, Yilun Du, Sergey Zakharov, Rares Ambrus, Adrien Gaidon, William T Freeman, Fredo Durand, Joshua B Tenenbaum, and Vincent Sitzmann · 2022
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Beyond Cross-view Image Retrieval: Highly Accurate Vehicle Localization Using Satellite Image
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Block-NeRF: Scalable Large Scene Neural View Synthesis
Matthew Tancik, Vincent Casser, Xinchen Yan, Sabeek Pradhan, Ben Mildenhall, Pratul P Srinivasan, Jonathan T Barron, and Henrik Kretzschmar · 2022
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RayTran: 3D pose estimation and shape reconstruction of multiple objects from videos with ray-traced transformers
Michał J Tyszkiewicz, Kevis-Kokitsi Maninis, Stefan Popov, and Vittorio Ferrari · 2022
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MatchFormer: Interleaving Attention in Transformers for Feature Matching
Qing Wang, Jiaming Zhang, Kailun Yang, Kunyu Peng, and Rainer Stiefelhagen · 2022
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Visual Cross-View Metric Localization with Dense Uncertainty Estimates
Zimin Xia, Olaf Booij, Marco Manfredi, and Julian FP Kooij · 2022
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Scaling Vision Transformers
Xiaohua Zhai, Alexander Kolesnikov, Neil Houlsby, and Lucas Beyer · 2022
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Is Geometry Enough for Matching in Visual Localization?
Qunjie Zhou, Sérgio Agostinho, Aljoša Ošep, and Laura Leal-Taixé · 2022
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NICE-SLAM: Neural Implicit Scalable Encoding for SLAM
Zihan Zhu, Songyou Peng, Viktor Larsson, Weiwei Xu, Hujun Bao, Zhaopeng Cui, Martin R. Oswald, and Marc Pollefeys · 2022
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Introduction to Ortho Mapping - ArcGIS Pro documentation
Esri · 2023
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Uncertainty-aware Vision-based Metric Cross-view Geolocalization
Florian Fervers, Sebastian Bullinger, Christoph Bodensteiner, Michael Arens, and Rainer Stiefelhagen · 2023
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Simple-BEV: What Really Matters for Multi-Sensor BEV Perception?
Adam W Harley, Zhaoyuan Fang, Jie Li, Rares Ambrus, and Katerina Fragkiadaki · 2023
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LightGlue: Local Feature Matching at Light Speed
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DINOv2: Learning Robust Visual Features without Supervision
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OrienterNet: Visual Localization in 2D Public Maps with Neural Matching
Paul-Edouard Sarlin, Daniel DeTone, Tsun-Yi Yang, Armen Avetisyan, Julian Straub, Tomasz Malisiewicz, Samuel Rota Bulo, Richard Newcombe, Peter Kontschieder, and Vasileios Balntas · 2023
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