Camera Localization
49 papers with code • 2 benchmarks • 8 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
ZInd
SLAM2REF
SpaGBOL
CrossLoc Benchmark Datasets
ConSLAM
Most implemented papers
DSAC - Differentiable RANSAC for Camera Localization
The most promising approach is inspired by reinforcement learning, namely to replace the deterministic hypothesis selection by a probabilistic selection for which we can derive the expected loss w. r. t.
Neural-Guided RANSAC: Learning Where to Sample Model Hypotheses
vislearn/ngransac
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ICCV 2019
In contrast, we learn hypothesis search in a principled fashion that lets us optimize an arbitrary task loss during training, leading to large improvements on classic computer vision tasks.
Event-based Camera Pose Tracking using a Generative Event Model
Event-based vision sensors mimic the operation of biological retina and they represent a major paradigm shift from traditional cameras.
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.
CMRNet: Camera to LiDAR-Map Registration
cattaneod/CMRNet
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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.
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.
6D Camera Relocalization in Ambiguous Scenes via Continuous Multimodal Inference
Multimodal3DVision/torch_bingham
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ECCV 2020
We present a multimodal camera relocalization framework that captures ambiguities and uncertainties with continuous mixture models defined on the manifold of camera poses.
Back to the Feature: Learning Robust Camera Localization from Pixels to Pose
cvg/pixloc
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CVPR 2021
In this paper, we go Back to the Feature: we argue that deep networks should focus on learning robust and invariant visual features, while the geometric estimation should be left to principled algorithms.
Fast and Lightweight Scene Regressor for Camera Relocalization
ais-lab/feat2map
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The proposed approach uses sparse descriptors to regress the scene coordinates, instead of a dense RGB image.
Mapping and Localization from Planar Markers
Squared planar markers are a popular tool for fast, accurate and robust camera localization, but its use is frequently limited to a single marker, or at most, to a small set of them for which their relative pose is known beforehand.
