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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 176–200 of 304 papers

TitleStatusHype
Accelerating Globally Optimal Consensus Maximization in Geometric Vision—0
Accurate Localization and Pose Estimation for Large 3D Models—0
A Constrained Optimization Approach for Gaussian Splatting from Coarsely-posed Images and Noisy Lidar Point Clouds—0
A Critical Analysis of Image-based Camera Pose Estimation Techniques—0
ADen: Adaptive Density Representations for Sparse-view Camera Pose Estimation—0
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
Camera Pose Estimation from Sequence of Calibrated Images—0
Camera Pose Estimation Using Implicit Distortion Models—0
Camera Pose Estimation With Unknown Principal Point—0
Camera Pose Voting for Large-Scale Image-Based Localization—0
Can You Trust Your Pose? Confidence Estimation in Visual Localization—0
Category-Level Global Camera Pose Estimation with Multi-Hypothesis Point Cloud Correspondences—0
Computing Egomotion with Local Loop Closures for Egocentric Videos—0
Correspondence-Guided SfM-Free 3D Gaussian Splatting for NVS—0
Correspondences of the Third Kind: Camera Pose Estimation from Object Reflection—0
CoVisPose: Co-Visibility Pose Transformer for Wide-Baseline Relative Pose Estimation in 360◦ Indoor Panoramas—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