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 181–190 of 304 papers

TitleStatusHype
Robustifying the Multi-Scale Representation of Neural Radiance Fields—0
CoVisPose: Co-Visibility Pose Transformer for Wide-Baseline Relative Pose Estimation in 360◦ Indoor Panoramas—0
Category-Level Global Camera Pose Estimation with Multi-Hypothesis Point Cloud Correspondences—0
Perspective-1-Ellipsoid: Formulation, Analysis and Solutions of the Camera Pose Estimation Problem from One Ellipse-Ellipsoid Correspondence—0
PRIF: Primary Ray-based Implicit Function—0
Level Set-Based Camera Pose Estimation From Multiple 2D/3D Ellipse-Ellipsoid Correspondences—0
Improving Worst Case Visual Localization Coverage via Place-specific Sub-selection in Multi-camera Systems—0
Virtual Correspondence: Humans as a Cue for Extreme-View Geometry—0
PixSelect: Less but Reliable Pixels for Accurate and Efficient Localization—0
Unsupervised Learning of 3D Scene Flow from Monocular CameraCode0
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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