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 231–240 of 304 papers

TitleStatusHype
End-to-End Camera Calibration for Broadcast Videos—0
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
Line-based Camera Pose Estimation in Point Cloud of Structured Environments—0
Privacy Preserving Image Queries for Camera Localization—0
Spatial Correspondence With Generative Adversarial Network: Learning Depth From Monocular Videos—0
Show:102550
← PrevPage 24 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