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 261–270 of 304 papers

TitleStatusHype
RGBD Objects in the Wild: Scaling Real-World 3D Object Learning from RGB-D Videos—0
RGB-Only Gaussian Splatting SLAM for Unbounded Outdoor Scenes—0
Robot Hand-Eye Calibration using Structure-from-Motion—0
Robustifying the Multi-Scale Representation of Neural Radiance Fields—0
Relative Camera Pose Estimation Using Convolutional Neural NetworksCode0
DeLS-3D: Deep Localization and Segmentation with a 3D Semantic MapCode0
Render-and-Compare: Cross-View 6 DoF Localization from Noisy PriorCode0
CrossLocate: Cross-modal Large-scale Visual Geo-Localization in Natural Environments using Rendered ModalitiesCode0
EPOSIT: An Absolute Pose Estimation Method for Pinhole and Fish-Eye CamerasCode0
EKFPnP: Extended Kalman Filter for Camera Pose Estimation in a Sequence of ImagesCode0
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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