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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 181–190 of 304 papers

TitleStatusHype
Adversarial Transfer of Pose Estimation Regression—0
AI-supported Framework of Semi-Automatic Monoplotting for Monocular Oblique Visual Data Analysis—0
A Lightweight Domain Adaptive Absolute Pose Regressor Using Barlow Twins Objective—0
A Line-Point Unified Solution to Relative Camera Pose Estimation—0
Back on Track: Bundle Adjustment for Dynamic Scene Reconstruction—0
Beyond Photometric Consistency: Gradient-based Dissimilarity for Improving Visual Odometry and Stereo Matching—0
BronchoPose: an analysis of data and model configuration for vision-based bronchoscopy pose estimation—0
BRUM: Robust 3D Vehicle Reconstruction from 360 Sparse Images—0
Camera Pose Correction in SLAM Based on Bias Values of Map Points—0
Camera Pose Estimation from Lines using Plücker Coordinates—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