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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 211220 of 343 papers

TitleStatusHype
Traffic Camera Calibration via Vehicle Vanishing Point DetectionCode1
Real-Time Surface Fitting to RGBD Sensor Data0
Camera Calibration with Pose Guidance0
3D Surface Reconstruction From Multi-Date Satellite ImagesCode1
Three-Dimensional Investigation of the Metric Properties of Parabolic Double Projection Involving Catadioptric Camera0
VaPiD: A Rapid Vanishing Point Detector via Learned Optimizers0
Orthographic-Perspective Epipolar Geometry0
Robust Automatic Monocular Vehicle Speed Estimation for Traffic Surveillance0
Multi-Channel Auto-Calibration for the Atmospheric Imaging Assembly using Machine LearningCode0
Event Camera Calibration of Per-pixel Biased Contrast ThresholdCode1
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