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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 7180 of 343 papers

TitleStatusHype
PnLCalib: Sports Field Registration via Points and Lines OptimizationCode2
Driver Attention Tracking and Analysis0
RoGUENeRF: A Robust Geometry-Consistent Universal Enhancer for NeRF0
Robust Surgical Tool Tracking with Pixel-based Probabilities for Projected Geometric Primitives0
MUC: Mixture of Uncalibrated Cameras for Robust 3D Human Body ReconstructionCode1
Unbiased Estimator for Distorted Conics in Camera CalibrationCode3
Single-image camera calibration with model-free distortion correction0
Neuromorphic Synergy for Video BinarizationCode1
One2Avatar: Generative Implicit Head Avatar For Few-shot User Adaptation0
Camera Calibration through Geometric Constraints from Rotation and Projection MatricesCode1
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