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 161–170 of 304 papers

TitleStatusHype
DiffPoseNet: Direct Differentiable Camera Pose Estimation—0
DIME-Net: Neural Network-Based Dynamic Intrinsic Parameter Rectification for Cameras with Optical Image Stabilization System—0
Direct Structure Estimation for 3D Reconstruction—0
Discriminative Optimization: Theory and Applications to Computer Vision Problems—0
DynaMiTe: A Dynamic Local Motion Model with Temporal Constraints for Robust Real-Time Feature Matching—0
Edge-aware Consistent Stereo Video Depth Estimation—0
Efficient Large Scale Inlier Voting for Geometric Vision Problems—0
End2End Multi-View Feature Matching with Differentiable Pose Optimization—0
Endo3R: Unified Online Reconstruction from Dynamic Monocular Endoscopic Video—0
Endo-FASt3r: Endoscopic Foundation model Adaptation for Structure from motion—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