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 71–80 of 304 papers

TitleStatusHype
Wide-Baseline Relative Camera Pose Estimation with Directional LearningCode1
LoFTR: Detector-Free Local Feature Matching with TransformersCode1
ManhattanSLAM: Robust Planar Tracking and Mapping Leveraging Mixture of Manhattan FramesCode1
Back to the Feature: Learning Robust Camera Localization from Pixels to PoseCode1
Simultaneous Multi-View Camera Pose Estimation and Object Tracking with Square Planar MarkersCode1
Neural Reprojection Error: Merging Feature Learning and Camera Pose EstimationCode1
How Privacy-Preserving are Line Clouds? Recovering Scene Details from 3D LinesCode1
Self-supervised Geometric PerceptionCode1
Progressive Correspondence Pruning by Consensus LearningCode1
PoGO-Net: Pose Graph Optimization With Graph Neural NetworksCode1
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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