Related papers: Generic Camera Calibration using Blurry Images

Generic Camera Calibration using Blurry Images

URL: http://arxiv.org/abs/2603.05159v1
Date: Thu, 05 Mar 2026 13:29:05 GMT
Title: Generic Camera Calibration using Blurry Images
Authors: Zezhun Shi,
Abstract summary: Generic camera calibration can yield more accurate results than parametric cam era calibration.<n>We draw on geometric constraints and a local parametric illumination model to simultaneously estimate feature locations and spatially varying point spread functions.
Score: 0.0
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Abstract: Camera calibration is the foundation of 3D vision. Generic camera calibration can yield more accurate results than parametric cam era calibration. However, calibrating a generic camera model using printed calibration boards requires far more images than parametric calibration, making motion blur practically unavoidable for individual users. As a f irst attempt to address this problem, we draw on geometric constraints and a local parametric illumination model to simultaneously estimate feature locations and spatially varying point spread functions, while re solving the translational ambiguity that need not be considered in con ventional image deblurring tasks. Experimental results validate the ef fectiveness of our approach.

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