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 281–290 of 304 papers

TitleStatusHype
A fast minimal solver for absolute camera pose with unknown focal length and radial distortion from four planar pointsCode0
SceneNet RGB-D: 5M Photorealistic Images of Synthetic Indoor Trajectories with Ground TruthCode0
Cooperative Holistic Scene Understanding: Unifying 3D Object, Layout, and Camera Pose EstimationCode0
Computing CNN Loss and Gradients for Pose Estimation with Riemannian GeometryCode0
Pose Constraints for Consistent Self-supervised Monocular Depth and Ego-motionCode0
Pan-tilt-zoom SLAM for Sports VideosCode0
Multi-body Depth and Camera Pose Estimation from Multiple ViewsCode0
MS2DG-Net: Progressive Correspondence Learning via Multiple Sparse Semantics Dynamic GraphCode0
iComMa: Inverting 3D Gaussian Splatting for Camera Pose Estimation via Comparing and MatchingCode0
USP-Gaussian: Unifying Spike-based Image Reconstruction, Pose Correction and Gaussian SplattingCode0
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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