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Precise Feature Extraction and Control Point Correction for Camera Calibration

Explore accurate control point correction methods for camera calibration with a mono-plane target to address systematic bias caused by printing errors. Ensure precise feature point extraction and 3D calibration point estimation for improved calibration results. Evaluation with real and synthetic data from 3 stereo vision systems. Algorithms enhance blob detection, raw calibration, ellipse parameter estimation and optimization, and multi-view calibration chart processing.

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Precise Feature Extraction and Control Point Correction for Camera Calibration

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  1. Accurate Feature Extraction and Control Point Correction for Camera Calibration with a Mono-Plane Target Y. Xiao, R.B. Fisher, University of Edinburgh • Control point correction: • Laser printing is NOT 100% accurate; • Printing errors produce systematic bias in calibration • Quite often ignored in vision community Two problems in calibration : • Accurate extraction of feature points • Accurate estimate of 3D calibration points Our algorithms improve both! Blob Detection Raw Calibration Ellipse Parameter Estimate Ellipse Parameter Optimization Multi-view of a calibration chart Results Synthetic data Real data: evaluation with 3 stereo vision systems MOID: Maximize Outside-Inside Difference

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