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 191–200 of 304 papers

TitleStatusHype
Camera Pose Estimation from Sequence of Calibrated Images—0
Camera Pose Estimation Using Implicit Distortion Models—0
Camera Pose Estimation With Unknown Principal Point—0
Camera Pose Voting for Large-Scale Image-Based Localization—0
Can You Trust Your Pose? Confidence Estimation in Visual Localization—0
Category-Level Global Camera Pose Estimation with Multi-Hypothesis Point Cloud Correspondences—0
Computing Egomotion with Local Loop Closures for Egocentric Videos—0
Correspondence-Guided SfM-Free 3D Gaussian Splatting for NVS—0
Correspondences of the Third Kind: Camera Pose Estimation from Object Reflection—0
CoVisPose: Co-Visibility Pose Transformer for Wide-Baseline Relative Pose Estimation in 360◦ Indoor Panoramas—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