A Minimal Six-Point Auto-Calibration Algorithm
Evgeniy Martyushev
TL;DR
This paper introduces a non-iterative auto-calibration algorithm that uses only six scene points across three views to determine camera parameters solely from image correspondences, validated on synthetic data.
Contribution
It presents a minimal, non-iterative auto-calibration method based on six points and three views, requiring no prior knowledge of intrinsic parameters.
Findings
Successfully calibrated camera parameters from synthetic images
Validated the algorithm's accuracy and efficiency
Demonstrated minimal data requirements for auto-calibration
Abstract
A non-iterative auto-calibration algorithm is presented. It deals with a minimal set of six scene points in three views taken by a camera with fixed but unknown intrinsic parameters. Calibration is based on the image correspondences only. The algorithm is implemented and validated on synthetic image data.
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Taxonomy
TopicsOptical measurement and interference techniques · Advanced Vision and Imaging · Image Processing Techniques and Applications