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Found 8 papers, 2 papers with code
GSLoc: Efficient Camera Pose Refinement via 3D Gaussian Splatting
We leverage 3D Gaussian Splatting (3DGS) as a scene representation and propose a novel test-time camera pose refinement framework, GSLoc.
AIR-HLoc: Adaptive Retrieved Images Selection for Efficient Visual Localisation
State-of-the-art hierarchical localisation pipelines (HLoc) employ image retrieval (IR) to establish 2D-3D correspondences by selecting the top-$k$ most similar images from a reference database.
HR-APR: APR-agnostic Framework with Uncertainty Estimation and Hierarchical Refinement for Camera Relocalisation
In addition, we take advantage of the uncertainty for pose refinement to enhance the performance of APR.
MobileARLoc: On-device Robust Absolute Localisation for Pervasive Markerless Mobile AR
To address APR accuracy and reduce VIO drift, MobileARLoc creates a feedback loop where VIO pose estimations refine the APR predictions.
360Loc: A Dataset and Benchmark for Omnidirectional Visual Localization with Cross-device Queries
We propose a virtual camera approach to generate lower-FoV query frames from 360$^\circ$ images, which ensures a fair comparison of performance among different query types in visual localization tasks.
VR PreM+ : An Immersive Pre-learning Branching Visualization System for Museum Tours
We present VR PreM+, an innovative VR system designed to enhance web exploration beyond traditional computer screens.
KS-APR: Keyframe Selection for Robust Absolute Pose Regression
However, APR methods tend to yield significant inaccuracies for input images that are too distant from the training set.
Robust Localization with Visual-Inertial Odometry Constraints for Markerless Mobile AR
However, VIO only tracks the relative pose of the device, leading to drift over time.
