Work

A Perspective Distortion Correction Method for Planar Imaging Based on Homography Mapping

Year: 2025

Type: article

Abstract: In monocular vision measurement, a barrier to accuracy is the perspective distortion caused by manufacturing errors in the imaging chip and non-parallelism between the measurement plane and its image. This paper proposed a perspective distortion correction method for planar imaging based on homography mapping. Factors causing perspective distortion from camera's intrinsic and extrinsic parameters were analyzed, followed by constructing a corrected imaging plane. The established perspective transformation model was then calibrated by utilizing the homography between planes. The nonlinear and perspective distortions were simultaneously removed by transforming the original image to the corrected imaging plane. The experiment measuring the radius, length, angle, and area of a designed pattern shows that the root mean square errors will be 0.016mm, 0.052mm, 0.16°, and 0.68mm2, and the standard deviations will be 0.016mm, 0.045mm, 0.033° and 0.65mm2, respectively. The proposed method can effectively solve the problem of high-precision planar measurement under perspective distortion.

Source: Sensors

DOI: 10.3390/s25061891

Authors: Chen Wang, Yabin Ding, Kai Cui, Jianhui Li, Qingpo Xu, Jiangping Mei

Institution: Tianjin University

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: National Natural Science Foundation of China