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 151–160 of 304 papers

TitleStatusHype
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
Cutting-edge 3D reconstruction solutions for underwater coral reef images: A review and comparison—0
DATAP-SfM: Dynamic-Aware Tracking Any Point for Robust Structure from Motion in the Wild—0
DeepMorph: A System for Hiding Bitstrings in Morphable Vector Drawings—0
Depth Camera Tracking With Contour Cues—0
Depth Extraction from Videos Using Geometric Context and Occlusion Boundaries—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