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

Showing 231240 of 304 papers

TitleStatusHype
Estimating 3D Camera Pose from 2D Pedestrian Trajectories0
Why Having 10,000 Parameters in Your Camera Model is Better Than TwelveCode1
SuperGlue: Learning Feature Matching with Graph Neural NetworksCode1
Line-based Camera Pose Estimation in Point Cloud of Structured Environments0
Spatial Correspondence With Generative Adversarial Network: Learning Depth From Monocular Videos0
Privacy Preserving Image Queries for Camera Localization0
Estimating the Fundamental Matrix Without Point Correspondences With Application to Transmission Imaging0
Large Scale Joint Semantic Re-Localisation and Scene Understanding via Globally Unique Instance Coordinate Regression0
How to improve CNN-based 6-DoF camera pose estimation0
EPOSIT: An Absolute Pose Estimation Method for Pinhole and Fish-Eye CamerasCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Monodepth2Average Translational Error et[%]43.21Unverified
2SfMLearnerAverage Translational Error et[%]29.78Unverified
3GeoNetAverage Translational Error et[%]26.31Unverified
4SC-DepthAverage Translational Error et[%]12.2Unverified
5DeepMatchVOAverage Translational Error et[%]11.05Unverified
6SCIPaDAverage Translational Error et[%]8.63Unverified
7Manydepth2Average Translational Error et[%]7.15Unverified