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 231–240 of 304 papers

TitleStatusHype
Simultaneous Super-Resolution of Depth and Images Using a Single Camera—0
Single Image Camera Calibration With Lenticular Arrays for Augmented Reality—0
Single-image camera calibration with model-free distortion correction—0
SmallGS: Gaussian Splatting-based Camera Pose Estimation for Small-Baseline Videos—0
Sparse Optical Flow-Based Line Feature Tracking—0
SparsePose: Sparse-View Camera Pose Regression and Refinement—0
Spatial Correspondence With Generative Adversarial Network: Learning Depth From Monocular Videos—0
SplaTAM: Splat Track & Map 3D Gaussians for Dense RGB-D SLAM—0
STAMICS: Splat, Track And Map with Integrated Consistency and Semantics for Dense RGB-D SLAM—0
Stereo4D: Learning How Things Move in 3D from Internet Stereo Videos—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