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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

Showing 326343 of 343 papers

TitleStatusHype
Deep Monocular Visual Odometry for Ground Vehicle0
Deep Single Image Camera Calibration by Heatmap Regression to Recover Fisheye Images Under Manhattan World Assumption0
Deep Single Image Camera Calibration With Radial Distortion0
Continuous Localization and Mapping of a Pan Tilt Zoom Camera for Wide Area Tracking0
Deltille Grids for Geometric Camera Calibration0
Consistent4D: Consistent 360° Dynamic Object Generation from Monocular Video0
DF-Calib: Targetless LiDAR-Camera Calibration via Depth Flow0
Consistency of Silhouettes and Their Duals0
Directionally Decomposing Structured Light for Projector Calibration0
Computer Vision-based Social Distancing Surveillance Solution with Optional Automated Camera Calibration for Large Scale Deployment0
Driver Attention Tracking and Analysis0
Color Homography Color Correction0
Dual-Triplet Metric Learning for Unsupervised Domain Adaptation in Video-Based Face Recognition0
CoL3D: Collaborative Learning of Single-view Depth and Camera Intrinsics for Metric 3D Shape Recovery0
ClearLines - Camera Calibration from Straight Lines0
Certifying the Existence of Epipolar Matrices0
CenterLoc3D: Monocular 3D Vehicle Localization Network for Roadside Surveillance Cameras0
Economical Precise Manipulation and Auto Eye-Hand Coordination with Binocular Visual Reinforcement Learning0
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