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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 261–270 of 304 papers

TitleStatusHype
MobileARLoc: On-device Robust Absolute Localisation for Pervasive Markerless Mobile AR—0
Mono3R: Exploiting Monocular Cues for Geometric 3D Reconstruction—0
Multi-Person 3D Pose Estimation from Multi-View Uncalibrated Depth Cameras—0
MonoNeRF: Learning Generalizable NeRFs from Monocular Videos without Camera Pose—0
MVSBoost: An Efficient Point Cloud-based 3D Reconstruction—0
Necessary and Sufficient Polynomial Constraints on Compatible Triplets of Essential Matrices—0
Nerfels: Renderable Neural Codes for Improved Camera Pose Estimation—0
Object-Based Visual Camera Pose Estimation From Ellipsoidal Model and 3D-Aware Ellipse Prediction—0
Object-Centric Multi-View Aggregation—0
On-line non-overlapping camera calibration net—0
Show:102550
← PrevPage 27 of 31Next →

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