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 201–250 of 304 papers

TitleStatusHype
Sampling Based Scene-Space Video Processing—0
Progressive Correspondence Pruning by Consensus LearningCode1
VaPiD: A Rapid Vanishing Point Detector via Learned Optimizers—0
PoGO-Net: Pose Graph Optimization With Graph Neural NetworksCode1
Towards Accurate Active Camera LocalizationCode1
Learnable Motion Coherence for Correspondence Pruning—0
Benchmarking Image Retrieval for Visual LocalizationCode1
DeepMorph: A System for Hiding Bitstrings in Morphable Vector Drawings—0
P1AC: Revisiting Absolute Pose From a Single Affine CorrespondenceCode1
Can You Trust Your Pose? Confidence Estimation in Visual Localization—0
CaSPR: Learning Canonical Spatiotemporal Point Cloud RepresentationsCode1
Privacy Preserving Structure-from-Motion—0
DynaMiTe: A Dynamic Local Motion Model with Temporal Constraints for Robust Real-Time Feature Matching—0
Event-based Stereo Visual OdometryCode1
Deep Keypoint-Based Camera Pose Estimation with Geometric ConstraintsCode1
Object-Centric Multi-View Aggregation—0
Learning to Switch CNNs with Model Agnostic Meta Learning for Fine Precision Visual Servoing—0
Perspective Plane Program Induction from a Single Image—0
Adversarial Transfer of Pose Estimation Regression—0
Height and Uprightness Invariance for 3D Prediction From a Single ViewCode1
Why Having 10,000 Parameters in Your Camera Model Is Better Than TwelveCode1
Learning Multi-View Camera Relocalization With Graph Neural Networks—0
End-to-End Camera Calibration for Broadcast Videos—0
TRPLP - Trifocal Relative Pose From Lines at Points—0
Vid2Curve: Simultaneous Camera Motion Estimation and Thin Structure Reconstruction from an RGB VideoCode1
Beyond Photometric Consistency: Gradient-based Dissimilarity for Improving Visual Odometry and Stereo Matching—0
Real-Time Camera Pose Estimation for Sports Fields—0
On-line non-overlapping camera calibration net—0
Unsupervised Learning of Camera Pose with Compositional Re-estimation—0
Necessary and Sufficient Polynomial Constraints on Compatible Triplets of Essential Matrices—0
Estimating 3D Camera Pose from 2D Pedestrian Trajectories—0
Why Having 10,000 Parameters in Your Camera Model is Better Than TwelveCode1
SuperGlue: Learning Feature Matching with Graph Neural NetworksCode1
Line-based Camera Pose Estimation in Point Cloud of Structured Environments—0
Spatial Correspondence With Generative Adversarial Network: Learning Depth From Monocular Videos—0
Privacy Preserving Image Queries for Camera Localization—0
Estimating the Fundamental Matrix Without Point Correspondences With Application to Transmission Imaging—0
Large Scale Joint Semantic Re-Localisation and Scene Understanding via Globally Unique Instance Coordinate Regression—0
How to improve CNN-based 6-DoF camera pose estimation—0
EPOSIT: An Absolute Pose Estimation Method for Pinhole and Fish-Eye CamerasCode0
Unsupervised Scale-consistent Depth and Ego-motion Learning from Monocular VideoCode1
Camera Pose Correction in SLAM Based on Bias Values of Map Points—0
Hybrid Camera Pose Estimation with Online Partitioning for SLAM—0
Pan-tilt-zoom SLAM for Sports VideosCode0
Introduction to Camera Pose Estimation with Deep Learning—0
ACNe: Attentive Context Normalization for Robust Permutation-Equivariant LearningCode0
EKFPnP: Extended Kalman Filter for Camera Pose Estimation in a Sequence of ImagesCode0
FishNet: A Camera Localizer using Deep Recurrent NetworksCode0
Trifocal Relative Pose from Lines at Points and its Efficient SolutionCode0
Understanding the Limitations of CNN-based Absolute Camera Pose RegressionCode0
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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