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 221–230 of 304 papers

TitleStatusHype
DeepMorph: A System for Hiding Bitstrings in Morphable Vector Drawings—0
Can You Trust Your Pose? Confidence Estimation in Visual Localization—0
Privacy Preserving Structure-from-Motion—0
DynaMiTe: A Dynamic Local Motion Model with Temporal Constraints for Robust Real-Time Feature Matching—0
Object-Centric Multi-View Aggregation—0
Learning to Switch CNNs with Model Agnostic Meta Learning for Fine Precision Visual Servoing—0
Perspective Plane Program Induction from a Single Image—0
Adversarial Transfer of Pose Estimation Regression—0
Learning Multi-View Camera Relocalization With Graph Neural Networks—0
TRPLP - Trifocal Relative Pose From Lines at Points—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