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 131–140 of 304 papers

TitleStatusHype
Event-based Camera Tracker by t NeRF—0
Estimating the Fundamental Matrix Without Point Correspondences With Application to Transmission Imaging—0
Estimating more camera poses for ego-centric videos is essential for VQ3D—0
A Critical Analysis of Image-based Camera Pose Estimation Techniques—0
Estimating 3D Camera Pose from 2D Pedestrian Trajectories—0
EquiPose: Exploiting Permutation Equivariance for Relative Camera Pose Estimation—0
Category-Level Global Camera Pose Estimation with Multi-Hypothesis Point Cloud Correspondences—0
4DTAM: Non-Rigid Tracking and Mapping via Dynamic Surface Gaussians—0
Learning Robust Multi-Scale Representation for Neural Radiance Fields from Unposed Images—0
End-to-End Camera Calibration for Broadcast Videos—0
Show:102550
← PrevPage 14 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