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 151–160 of 304 papers

TitleStatusHype
SuperGF: Unifying Local and Global Features for Visual Localization—0
T-Graph: Enhancing Sparse-view Camera Pose Estimation by Pairwise Translation Graph—0
The Alignment of the Spheres: Globally-Optimal Spherical Mixture Alignment for Camera Pose Estimation—0
Toon3D: Seeing Cartoons from New Perspectives—0
Towards Design and Development of an ArUco Markers-Based Quantitative Surface Tactile Sensor—0
Towards the Application of Linear Programming Methods For Multi-Camera Pose Estimation—0
TransCamP: Graph Transformer for 6-DoF Camera Pose Estimation—0
TRPLP - Trifocal Relative Pose From Lines at Points—0
Uncertainty-Aware Camera Pose Estimation from Points and Lines—0
Unifying Correspondence Pose and NeRF for Generalized Pose-Free Novel View Synthesis—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