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 41–50 of 304 papers

TitleStatusHype
Back to the Feature: Learning Robust Camera Localization from Pixels to PoseCode1
Learning How To Robustly Estimate Camera Pose in Endoscopic VideosCode1
RePoseD: Efficient Relative Pose Estimation With Known Depth InformationCode1
Event-based Stereo Visual OdometryCode1
Activating Self-Attention for Multi-Scene Absolute Pose RegressionCode1
EVLoc: Event-based Visual Localization in LiDAR Maps via Event-Depth RegistrationCode1
Learning to Filter Outlier Edges in Global SfMCode1
Collaborative Dense SLAMCode1
Progressive Correspondence Pruning by Consensus LearningCode1
How Privacy-Preserving are Line Clouds? Recovering Scene Details from 3D LinesCode1
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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