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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 121–130 of 304 papers

TitleStatusHype
EKFPnP: Extended Kalman Filter for Camera Pose Estimation in a Sequence of ImagesCode0
EgoCOL: Egocentric Camera pose estimation for Open-world 3D object Localization @Ego4D challenge 2023Code0
Pan-tilt-zoom SLAM for Sports VideosCode0
Real-Time RGB-D Camera Pose Estimation in Novel Scenes using a Relocalisation CascadeCode0
DeLS-3D: Deep Localization and Segmentation with a 3D Semantic MapCode0
Hybrid Structure-from-Motion and Camera Relocalization for Enhanced Egocentric LocalizationCode0
RPNet: an End-to-End Network for Relative Camera Pose EstimationCode0
MS2DG-Net: Progressive Correspondence Learning via Multiple Sparse Semantics Dynamic GraphCode0
Multi-body Depth and Camera Pose Estimation from Multiple ViewsCode0
Domain Adaptation of Networks for Camera Pose Estimation: Learning Camera Pose Estimation Without Pose LabelsCode0
Show:102550
← PrevPage 13 of 31Next →

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