SOTAVerified

Camera Pose Estimation

Camera pose estimation is a crucial task in computer vision and robotics that involves determining the position and orientation (pose) of a camera relative to a given reference frame. This task is essential for various applications, such as augmented reality, 3D reconstruction, SLAM, and autonomous navigation.

Papers

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Showing 76–100 of 304 papers

TitleStatusHype
Neural Reprojection Error: Merging Feature Learning and Camera Pose EstimationCode1
How Privacy-Preserving are Line Clouds? Recovering Scene Details from 3D LinesCode1
Self-supervised Geometric PerceptionCode1
Progressive Correspondence Pruning by Consensus LearningCode1
PoGO-Net: Pose Graph Optimization With Graph Neural NetworksCode1
Towards Accurate Active Camera LocalizationCode1
Benchmarking Image Retrieval for Visual LocalizationCode1
P1AC: Revisiting Absolute Pose From a Single Affine CorrespondenceCode1
CaSPR: Learning Canonical Spatiotemporal Point Cloud RepresentationsCode1
Event-based Stereo Visual OdometryCode1
Deep Keypoint-Based Camera Pose Estimation with Geometric ConstraintsCode1
Why Having 10,000 Parameters in Your Camera Model Is Better Than TwelveCode1
Height and Uprightness Invariance for 3D Prediction From a Single ViewCode1
Vid2Curve: Simultaneous Camera Motion Estimation and Thin Structure Reconstruction from an RGB VideoCode1
Why Having 10,000 Parameters in Your Camera Model is Better Than TwelveCode1
SuperGlue: Learning Feature Matching with Graph Neural NetworksCode1
Unsupervised Scale-consistent Depth and Ego-motion Learning from Monocular VideoCode1
Collaborative Dense SLAMCode1
Digging Into Self-Supervised Monocular Depth EstimationCode1
CubeSLAM: Monocular 3D Object SLAMCode1
π^3: Scalable Permutation-Equivariant Visual Geometry Learning—0
SGLoc: Semantic Localization System for Camera Pose Estimation from 3D Gaussian Splatting RepresentationCode0
BRUM: Robust 3D Vehicle Reconstruction from 360 Sparse Images—0
Kaleidoscopic Background Attack: Disrupting Pose Estimation with Multi-Fold Radial Symmetry Textures—0
RA-NeRF: Robust Neural Radiance Field Reconstruction with Accurate Camera Pose Estimation under Complex Trajectories—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Monodepth2Average Translational Error et[%]43.21—Unverified
2SfMLearnerAverage Translational Error et[%]29.78—Unverified
3GeoNetAverage Translational Error et[%]26.31—Unverified
4SC-DepthAverage Translational Error et[%]12.2—Unverified
5DeepMatchVOAverage Translational Error et[%]11.05—Unverified
6SCIPaDAverage Translational Error et[%]8.63—Unverified
7Manydepth2Average Translational Error et[%]7.15—Unverified