Work

A Focal Length Calibration Method for Vision Measurement Systems Based on Multi-Feature Composite Variable Weighting

Year: 2025

Type: article

Abstract: Existing focal length calibration methods rely on predefined calibration fields or control point networks, which are unsuitable for real-time applications with variable zoom in industrial and agricultural environments. This paper proposes a method based on global scanning principles and geometric constraints, eliminating control points and using symmetric features. A spatial weighting strategy optimizes redundant measurements by integrating optical distortion and the spatial distribution of measured points, enhancing accuracy. Experimental results show that the method achieves micron-level calibration precision, significantly improving visual measurement system accuracy under complex zoom conditions.

Source: Sensors

DOI: 10.3390/s25226873

Authors: Enshun Lu, Xiaofeng Li, Fangjing Yang, Daode Zhang, Xing Sun

Institutions: Hubei University of Technology, Wuhan University of Technology, Chinese Academy of Agricultural Mechanization Sciences

Language: English

Topic: Optical measurement and interference techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $3,137

Funder: Natural Science Foundation of Hubei Province