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 241–250 of 304 papers

TitleStatusHype
Introduction to Camera Pose Estimation with Deep Learning—0
Joint Estimation of Camera Pose, Depth, Deblurring, and Super-Resolution from a Blurred Image Sequence—0
Kaleidoscopic Background Attack: Disrupting Pose Estimation with Multi-Fold Radial Symmetry Textures—0
KeyGS: A Keyframe-Centric Gaussian Splatting Method for Monocular Image Sequences—0
Large-scale visual SLAM for in-the-wild videos—0
Learnable Motion Coherence for Correspondence Pruning—0
Learning Correspondence Uncertainty via Differentiable Nonlinear Least Squares—0
Learning Multi-View Camera Relocalization With Graph Neural Networks—0
Learning Probabilistic Coordinate Fields for Robust Correspondences—0
Learning Robust Multi-Scale Representation for Neural Radiance Fields from Unposed Images—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