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
Self-Supervised Equivariant Learning for Oriented Keypoint DetectionCode1
Bimodal Camera Pose Prediction for EndoscopyCode1
Sparse Optical Flow-Based Line Feature Tracking—0
DFNet: Enhance Absolute Pose Regression with Direct Feature MatchingCode1
DiffPoseNet: Direct Differentiable Camera Pose Estimation—0
ViewFormer: NeRF-free Neural Rendering from Few Images Using TransformersCode2
Object-Based Visual Camera Pose Estimation From Ellipsoidal Model and 3D-Aware Ellipse Prediction—0
RelMobNet: End-to-end relative camera pose estimation using a robust two-stage training—0
DKM: Dense Kernelized Feature Matching for Geometry EstimationCode2
A Critical Analysis of Image-based Camera Pose Estimation Techniques—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