Camera Localization
39 papers with code • 2 benchmarks • 4 datasets
Latest papers
Monocular Camera Localization in Prior LiDAR Maps with 2D-3D Line Correspondences
With the pose prediction from VIO, we can efficiently obtain coarse 2D-3D line correspondences.
Multi-View Optimization of Local Feature Geometry
In this work, we address the problem of refining the geometry of local image features from multiple views without known scene or camera geometry.
VMLoc: Variational Fusion For Learning-Based Multimodal Camera Localization
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.
R2D2: Reliable and Repeatable Detector and Descriptor
We thus propose to jointly learn keypoint detection and description together with a predictor of the local descriptor discriminativeness.
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.
Prior Guided Dropout for Robust Visual Localization in Dynamic Environments
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.
AtLoc: Attention Guided Camera Localization
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.
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.
CMRNet: Camera to LiDAR-Map Registration
In this paper we present CMRNet, a realtime approach based on a Convolutional Neural Network to localize an RGB image of a scene in a map built from LiDAR data.
Panoramic Annular Localizer: Tackling the Variation Challenges of Outdoor Localization Using Panoramic Annular Images and Active Deep Descriptors
The panoramic annular images captured by the single camera are processed and fed into the NetVLAD network to form the active deep descriptor, and sequential matching is utilized to generate the localization result.