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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 101110 of 343 papers

TitleStatusHype
Corner-Based Geometric Calibration of Multi-Focus Plenoptic CamerasCode0
Panoramic Depth Estimation via Supervised and Unsupervised Learning in Indoor ScenesCode0
NeurVPS: Neural Vanishing Point Scanning via Conic ConvolutionCode0
Comprehensive Data Set for Automatic Single Camera Visual Speed MeasurementCode0
Blind Augmentation: Calibration-free Camera Distortion Model Estimation for Real-time Mixed-reality ConsistencyCode0
Comprehensive Analysis of the Object Detection Pipeline on UAVsCode0
Automated Static Camera Calibration with Intelligent VehiclesCode0
ChESS - Quick and Robust Detection of Chess-board FeaturesCode0
Motor Focus: Fast Ego-Motion Prediction for Assistive Visual NavigationCode0
MARIO: Modular and Extensible Architecture for Computing Visual Statistics in RoboCup SPLCode0
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