Geometric Parameters Calibration of Focused Light Field Camera Based on Edge Spread Information Fitting

被引:4
|
作者
Feng, Wei [1 ]
Wang, Henghui [1 ]
Fan, Jiahao [1 ]
Xie, Boya [1 ]
Wang, Xuanze [1 ]
机构
[1] Hubei Univ Technol, Sch Mech Engn, Hubei Key Lab Modern Mfg Qual Engn, Wuhan 430068, Peoples R China
基金
中国国家自然科学基金; 中国博士后科学基金;
关键词
parameters calibration; focused light field camera; edge spread information fitting; internal parameters; corner detection; DEPTH ESTIMATION;
D O I
10.3390/photonics10020187
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
In this paper, a novel method based on edge spread information fitting (ESIF) is proposed to accurately calibrate the geometric parameters of a focused light field camera. A focused light field camera with flexible adjustment of spatial resolution and angular resolution is designed and built to capture the four-dimensional light field information of the scenes, and the geometric relationship between the focus plane of the camera and its internal parameters is derived to establish and simplify the calibration model. After that, a new algorithm based on sub-pixel edge fitting is designed to accurately detect corners, and the minimum corner size can be calculated to confirm the focus plane. In the simulation experiments, the error is 0.083% between the ground truth and the calibration result. The physical experiments show that our method is effective and reliable for the geometric calibration of a focused light field camera. Our method cleverly utilizes the special imaging geometric relationship of the focused light field camera to ensure the better calibration accuracy, which makes the calibration process more reliable.
引用
收藏
页数:13
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