Camera Localization
39 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
Monocular Camera Localization in Prior LiDAR Maps with 2D-3D Line Correspondences
levenberg/2D-3D-pose-tracking
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With the pose prediction from VIO, we can efficiently obtain coarse 2D-3D line correspondences.
Towards Accurate Active Camera Localization
These approaches localize the camera in the discrete pose space and are agnostic to the localization-driven scene property, which restricts the camera pose accuracy in the coarse scale.
Learning Camera Localization via Dense Scene Matching
Tangshitao/Dense-Scene-Matching
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CVPR 2021
We present a new method for scene agnostic camera localization using dense scene matching (DSM), where a cost volume is constructed between a query image and a scene.
Continual Learning for Image-Based Camera Localization
aaltovision/cl_hscnet
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ICCV 2021
For several emerging technologies such as augmented reality, autonomous driving and robotics, visual localization is a critical component.
Decoupling Makes Weakly Supervised Local Feature Better
The-Learning-And-Vision-Atelier-LAVA/PoSFeat
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CVPR 2022
Weakly supervised learning can help local feature methods to overcome the obstacle of acquiring a large-scale dataset with densely labeled correspondences.
Beyond Cross-view Image Retrieval: Highly Accurate Vehicle Localization Using Satellite Image
shiyujiao/highlyaccurate
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CVPR 2022
This paper addresses the problem of vehicle-mounted camera localization by matching a ground-level image with an overhead-view satellite map.
Structure PLP-SLAM: Efficient Sparse Mapping and Localization using Point, Line and Plane for Monocular, RGB-D and Stereo Cameras
One of the biggest challenges in parallel tracking and mapping with a monocular camera is to keep the scale consistent when reconstructing the geometric primitives.
ESLAM: Efficient Dense SLAM System Based on Hybrid Representation of Signed Distance Fields
idiap/eslam
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CVPR 2023
We present ESLAM, an efficient implicit neural representation method for Simultaneous Localization and Mapping (SLAM).
RobustLoc: Robust Camera Pose Regression in Challenging Driving Environments
Experiments demonstrate that RobustLoc surpasses current state-of-the-art camera pose regression models and achieves robust performance in various environments.
NeuMap: Neural Coordinate Mapping by Auto-Transdecoder for Camera Localization
tangshitao/neumap
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CVPR 2023
State-of-the-art feature matching methods require each scene to be stored as a 3D point cloud with per-point features, consuming several gigabytes of storage per scene.
