arrow
Return

A single-image linear calibration method for camera

delete2018-12-01
delete35
PRE
AI
Z
Zhuang Zhang
R
Rujin Zhao *
E
Enhai Liu
K
Kun Yan
Y
Yuebo Ma
DOI:10.1016/j.measurement.2018.07.085delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
This paper proposes a linear method for simultaneously calibrating the distortion coefficients and intrinsic parameters of a camera by using a single image, based on the division model of distortion. First, we accurately estimate the distortion center from correspondences between points on the target and its image. Then we decouple the distortion coefficient and intrinsic parameters and solve all the parameters independently through a linear method. We show through both simulation and real experiments that the proposed approach is effective and reliable. Compared with iterative methods, it can improve computational efficiency by more than 20 times while preserving calibration accuracy. (C) 2018 Elsevier Ltd. All rights reserved.
Keywords:
Camera calibration
Lens distortion correction
Division model
Non-iterative
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Measurement cover
Measurement
IF:
5.6
Papers:
1.9W
Citations:
5.4W

Organization

C
chinese academy of sciences
Scholars:
56.0W
Papers: 44.8W
Citations: 704