SOTAVerified

Camera Calibration

Camera calibration involves estimating camera parameters(including camera intrinsics and extrinsics) to infer geometric features from captured sequences, which is crucial for computer vision and robotics. Driven by different architectures of the neural network, the researchers have developed two main paradigms for learning-based camera calibration and its applications. One is Regression-based Calibration，Reconstruction-based Calibration is another.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 301–343 of 343 papers

TitleStatusHype
Acquisition of high-quality images for camera calibration in robotics applications via speech prompts—0
ZeroVO: Visual Odometry with Minimal Assumptions—0
Temporally coherent 4D reconstruction of complex dynamic scenes—0
TEScalib: Targetless Extrinsic Self-Calibration of LiDAR and Stereo Camera for Automated Driving Vehicles with Uncertainty Analysis—0
The Common Self-Polar Triangle of Concentric Circles and Its Application to Camera Calibration—0
The Influence of Autofocus Lenses in the Camera Calibration Process—0
The WILDTRACK Multi-Camera Person Dataset—0
Three-Dimensional Investigation of the Metric Properties of Parabolic Double Projection Involving Catadioptric Camera—0
Toward Planet-Wide Traffic Camera Calibration—0
Towards Dense People Detection with Deep Learning and Depth images—0
ToxTrac: a fast and robust software for tracking organisms—0
Rotating-star Pattern for Camera Calibration—0
Traffic Surveillance Camera Calibration by 3D Model Bounding Box Alignment for Accurate Vehicle Speed Measurement—0
Trajectory Approximation of Video Based on Phase Correlation for Forward Facing Camera—0
Accurate Camera Calibration Robust to Defocus Using a Smartphone—0
TT3D: Table Tennis 3D Reconstruction—0
A Calibration Tool for Refractive Underwater Vision—0
Twin gaussian processes for structured prediction—0
UltraStereo: Efficient Learning-Based Matching for Active Stereo Systems—0
4-D Scene Alignment in Surveillance Video—0
Underwater Camera Calibration Using Wavelength Triangulation—0
Deep-BrownConrady: Prediction of Camera Calibration and Distortion Parameters Using Deep Learning and Synthetic Data—0
Unsupervised Multi-view Pedestrian Detection—0
Data Fusion of Semantic and Depth Information in the Context of Object Detection—0
Cross-View Cross-Scene Multi-View Crowd Counting—0
Deep Monocular Visual Odometry for Ground Vehicle—0
Deep Single Image Camera Calibration by Heatmap Regression to Recover Fisheye Images Under Manhattan World Assumption—0
Deep Single Image Camera Calibration With Radial Distortion—0
Continuous Localization and Mapping of a Pan Tilt Zoom Camera for Wide Area Tracking—0
Deltille Grids for Geometric Camera Calibration—0
Consistent4D: Consistent 360° Dynamic Object Generation from Monocular Video—0
DF-Calib: Targetless LiDAR-Camera Calibration via Depth Flow—0
Consistency of Silhouettes and Their Duals—0
Directionally Decomposing Structured Light for Projector Calibration—0
Computer Vision-based Social Distancing Surveillance Solution with Optional Automated Camera Calibration for Large Scale Deployment—0
Driver Attention Tracking and Analysis—0
Color Homography Color Correction—0
Dual-Triplet Metric Learning for Unsupervised Domain Adaptation in Video-Based Face Recognition—0
CoL3D: Collaborative Learning of Single-view Depth and Camera Intrinsics for Metric 3D Shape Recovery—0
ClearLines - Camera Calibration from Straight Lines—0
Certifying the Existence of Epipolar Matrices—0
CenterLoc3D: Monocular 3D Vehicle Localization Network for Roadside Surveillance Cameras—0
Economical Precise Manipulation and Auto Eye-Hand Coordination with Binocular Visual Reinforcement Learning—0
Show:102550
← PrevPage 7 of 7Next →

No leaderboard results yet.