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

Showing 111120 of 304 papers

TitleStatusHype
Region contrastive camera localizationCode0
Relative Camera Pose Estimation Using Convolutional Neural NetworksCode0
Robust Two-View Geometry Estimation with Implicit DifferentiationCode0
SGLoc: Semantic Localization System for Camera Pose Estimation from 3D Gaussian Splatting RepresentationCode0
Trifocal Relative Pose from Lines at Points and its Efficient SolutionCode0
AEPnP: A Less-constrained EPnP Solver for Pose Estimation with Anisotropic ScalingCode0
EPOSIT: An Absolute Pose Estimation Method for Pinhole and Fish-Eye CamerasCode0
Pose Constraints for Consistent Self-supervised Monocular Depth and Ego-motionCode0
Pan-tilt-zoom SLAM for Sports VideosCode0
EKFPnP: Extended Kalman Filter for Camera Pose Estimation in a Sequence of ImagesCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Monodepth2Average Translational Error et[%]43.21Unverified
2SfMLearnerAverage Translational Error et[%]29.78Unverified
3GeoNetAverage Translational Error et[%]26.31Unverified
4SC-DepthAverage Translational Error et[%]12.2Unverified
5DeepMatchVOAverage Translational Error et[%]11.05Unverified
6SCIPaDAverage Translational Error et[%]8.63Unverified
7Manydepth2Average Translational Error et[%]7.15Unverified