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
Estimating the Fundamental Matrix Without Point Correspondences With Application to Transmission Imaging—0
How to improve CNN-based 6-DoF camera pose estimation—0
Large Scale Joint Semantic Re-Localisation and Scene Understanding via Globally Unique Instance Coordinate Regression—0
EPOSIT: An Absolute Pose Estimation Method for Pinhole and Fish-Eye CamerasCode0
Camera Pose Correction in SLAM Based on Bias Values of Map Points—0
Hybrid Camera Pose Estimation with Online Partitioning for SLAM—0
Pan-tilt-zoom SLAM for Sports VideosCode0
Introduction to Camera Pose Estimation with Deep Learning—0
ACNe: Attentive Context Normalization for Robust Permutation-Equivariant LearningCode0
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