Camera Localization
37 papers with code • 2 benchmarks • 4 datasets
Benchmarks
These leaderboards are used to track progress in Camera Localization
| Trend | Dataset | Best Model | Paper | Code | Compare |
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Aachen Day-Night
12 Scenes
HPS
CrossLoc Benchmark Datasets
Most implemented papers
Learning Less is More - 6D Camera Localization via 3D Surface Regression
vislearn/LessMore
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CVPR 2018
Popular research areas like autonomous driving and augmented reality have renewed the interest in image-based camera localization.
Geometry-Aware Learning of Maps for Camera Localization
NVlabs/geomapnet
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CVPR 2018
Maps are a key component in image-based camera localization and visual SLAM systems: they are used to establish geometric constraints between images, correct drift in relative pose estimation, and relocalize cameras after lost tracking.
Latent RANSAC
We present a method that can evaluate a RANSAC hypothesis in constant time, i. e. independent of the size of the data.
A Generative Map for Image-based Camera Localization
For localization, we show that Generative Map achieves comparable performance with current regression models.
Expert Sample Consensus Applied to Camera Re-Localization
In this work, we fit the 6D camera pose to a set of noisy correspondences between the 2D input image and a known 3D environment.
AtLoc: Attention Guided Camera Localization
BingCS/AtLoc
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Deep learning has achieved impressive results in camera localization, but current single-image techniques typically suffer from a lack of robustness, leading to large outliers.
Prior Guided Dropout for Robust Visual Localization in Dynamic Environments
zju3dv/RVL-Dynamic
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ICCV 2019
Additionally, the dropout module enables the pose regressor to output multiple hypotheses from which the uncertainty of pose estimates can be quantified and leveraged in the following uncertainty-aware pose-graph optimization to improve the robustness further.
ViewSynth: Learning Local Features from Depth using View Synthesis
By learning view synthesis, we explicitly encourage the feature extractor to encode information about not only the visible, but also the occluded parts of the scene.
VMLoc: Variational Fusion For Learning-Based Multimodal Camera Localization
kaichen-z/vmloc
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We conjecture that this is because of the naive approaches to feature space fusion through summation or concatenation which do not take into account the different strengths of each modality.
Multi-View Optimization of Local Feature Geometry
mihaidusmanu/local-feature-refinement
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ECCV 2020
In this work, we address the problem of refining the geometry of local image features from multiple views without known scene or camera geometry.
