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 126–150 of 304 papers

TitleStatusHype
Adversarial Transfer of Pose Estimation Regression—0
Absolute Pose Estimation from Line Correspondences using Direct Linear Transformation—0
Long-term 3D Localization and Pose from Semantic Labellings—0
Multi-Person 3D Pose Estimation from Multi-View Uncalibrated Depth Cameras—0
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
LiM-Loc: Visual Localization with Dense and Accurate 3D Reference Maps Directly Corresponding 2D Keypoints to 3D LiDAR Point Clouds—0
End-to-End Camera Calibration for Broadcast Videos—0
Endo-FASt3r: Endoscopic Foundation model Adaptation for Structure from motion—0
Can You Trust Your Pose? Confidence Estimation in Visual Localization—0
Endo3R: Unified Online Reconstruction from Dynamic Monocular Endoscopic Video—0
End2End Multi-View Feature Matching with Differentiable Pose Optimization—0
A Line-Point Unified Solution to Relative Camera Pose Estimation—0
Camera Pose Estimation With Unknown Principal Point—0
Camera Pose Voting for Large-Scale Image-Based Localization—0
A Constrained Optimization Approach for Gaussian Splatting from Coarsely-posed Images and Noisy Lidar Point Clouds—0
Efficient Large Scale Inlier Voting for Geometric Vision Problems—0
Edge-aware Consistent Stereo Video Depth Estimation—0
Light3R-SfM: Towards Feed-forward Structure-from-Motion—0
Show:102550
← PrevPage 6 of 13Next →

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