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 121–130 of 304 papers

TitleStatusHype
SiLK -- Simple Learned KeypointsCode2
Accelerating Globally Optimal Consensus Maximization in Geometric Vision—0
Event-based Camera Tracker by t NeRF—0
Learning Rotation-Equivariant Features for Visual Correspondence—0
DIME-Net: Neural Network-Based Dynamic Intrinsic Parameter Rectification for Cameras with Optical Image Stabilization System—0
Render-and-Compare: Cross-View 6 DoF Localization from Noisy PriorCode0
SiLK: Simple Learned Keypoints—0
E2NeRF: Event Enhanced Neural Radiance Fields from Blurry ImagesCode1
Multi-body Depth and Camera Pose Estimation from Multiple ViewsCode0
SuperGF: Unifying Local and Global Features for Visual Localization—0
Show:102550
← PrevPage 13 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