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 121–130 of 304 papers

TitleStatusHype
Feature-Level Collaboration: Joint Unsupervised Learning of Optical Flow, Stereo Depth and Camera Motion—0
Large-scale visual SLAM for in-the-wild videos—0
FAR: Flexible Accurate and Robust 6DoF Relative Camera Pose Estimation—0
Hybrid Camera Pose Estimation—0
Hybrid Camera Pose Estimation with Online Partitioning for SLAM—0
Adversarial Transfer of Pose Estimation Regression—0
FAR: Flexible, Accurate and Robust 6DoF Relative Camera Pose Estimation—0
Computing Egomotion with Local Loop Closures for Egocentric Videos—0
Absolute Pose Estimation from Line Correspondences using Direct Linear Transformation—0
Learnable Motion Coherence for Correspondence Pruning—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