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 231–240 of 304 papers

TitleStatusHype
GISR: Geometric Initialization and Silhouette-based Refinement for Single-View Robot Pose and Configuration Estimation—0
Globally-Optimal Inlier Set Maximisation for Simultaneous Camera Pose and Feature Correspondence—0
Graph-CoVis: GNN-based Multi-view Panorama Global Pose Estimation—0
Hybrid Camera Pose Estimation—0
Hybrid Camera Pose Estimation with Online Partitioning for SLAM—0
ID-Pose: Sparse-view Camera Pose Estimation by Inverting Diffusion Models—0
Image as an IMU: Estimating Camera Motion from a Single Motion-Blurred Image—0
Improving Worst Case Visual Localization Coverage via Place-specific Sub-selection in Multi-camera Systems—0
Indoor GeoNet: Weakly Supervised Hybrid Learning for Depth and Pose Estimation—0
Intensity and Texture Correction of Omnidirectional Image Using Camera Images for Indirect Augmented Reality—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