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 176–200 of 304 papers

TitleStatusHype
Domain Adaptation of Networks for Camera Pose Estimation: Learning Camera Pose Estimation Without Pose LabelsCode0
AI-supported Framework of Semi-Automatic Monoplotting for Monocular Oblique Visual Data Analysis—0
BEV-Net: Assessing Social Distancing Compliance by Joint People Localization and Geometric ReasoningCode1
Video Autoencoder: self-supervised disentanglement of static 3D structure and motion—0
AirDOS: Dynamic SLAM benefits from Articulated ObjectsCode1
S3LAM: Structured Scene SLAM—0
Reassessing the Limitations of CNN Methods for Camera Pose Regression—0
Self-supervised Learning of Occlusion Aware Flow Guided 3D Geometry Perception with Adaptive Cross Weighted Loss from Monocular Videos—0
Efficient Large Scale Inlier Voting for Geometric Vision Problems—0
Uncertainty-Aware Camera Pose Estimation from Points and Lines—0
Feature-Level Collaboration: Joint Unsupervised Learning of Optical Flow, Stereo Depth and Camera Motion—0
Visual Correspondence Hallucination—0
Wide-Baseline Relative Camera Pose Estimation with Directional LearningCode1
TransCamP: Graph Transformer for 6-DoF Camera Pose Estimation—0
3D-Aware Ellipse Prediction for Object-Based Camera Pose EstimationCode0
Soft Expectation and Deep Maximization for Image Feature DetectionCode0
Fusing the Old with the New: Learning Relative Camera Pose with Geometry-Guided Uncertainty—0
LoFTR: Detector-Free Local Feature Matching with TransformersCode1
ManhattanSLAM: Robust Planar Tracking and Mapping Leveraging Mixture of Manhattan FramesCode1
Pose-GNN : Camera Pose Estimation System Using Graph Neural Networks—0
Back to the Feature: Learning Robust Camera Localization from Pixels to PoseCode1
Simultaneous Multi-View Camera Pose Estimation and Object Tracking with Square Planar MarkersCode1
Neural Reprojection Error: Merging Feature Learning and Camera Pose EstimationCode1
How Privacy-Preserving are Line Clouds? Recovering Scene Details from 3D LinesCode1
Self-supervised Geometric PerceptionCode1
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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