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 171–180 of 304 papers

TitleStatusHype
End-to-End Camera Calibration for Broadcast Videos—0
EquiPose: Exploiting Permutation Equivariance for Relative Camera Pose Estimation—0
Estimating 3D Camera Pose from 2D Pedestrian Trajectories—0
Estimating more camera poses for ego-centric videos is essential for VQ3D—0
Estimating the Fundamental Matrix Without Point Correspondences With Application to Transmission Imaging—0
Event-based Camera Tracker by t NeRF—0
FAR: Flexible, Accurate and Robust 6DoF Relative Camera Pose Estimation—0
FAR: Flexible Accurate and Robust 6DoF Relative Camera Pose Estimation—0
Feature-Level Collaboration: Joint Unsupervised Learning of Optical Flow, Stereo Depth and Camera Motion—0
Five Shades of Grey for Fast and Reliable Camera Pose Estimation—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