High-precision visual imaging model and calibration method for multi-depth-of-field targets

Hou, Yuguang; Liu, Changying; Wang, Hao; Fan, Yiyao; An, Bowen; Liu, Yang

doi:10.1016/j.ijleo.2022.169788

Cited by 3 publications

(1 citation statement)

References 25 publications

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“…Bothe et al [4] built the vision ray calibration (VRC), which directly modeled the optical system as a black box, tracing each pixel individually, providing a more accurate calibration method in the optical caustic environment. Hou et al [5] carried out a large number of calibrations of camera parameters at different depths, and then described the relationship between camera parameters and a wangsx@fudan.edu.cn imaging depth through a clustering algorithm.…”

Section: Introductionmentioning

confidence: 99%

3D reconstruction method of defocused images based on optical system analysis

Chen,

Wang

2023

Eighth Asia Pacific Conference on Optics Manufacture and Third International Forum of Young Scientists on Advanced Optical Manu

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Section: Introductionmentioning

confidence: 99%

3D reconstruction method of defocused images based on optical system analysis

Chen,

Wang

2023

Eighth Asia Pacific Conference on Optics Manufacture and Third International Forum of Young Scientists on Advanced Optical Manu

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A Minimal Set of Parameters-Based Depth-Dependent Distortion Model and Its Calibration Method for Stereo Vision Systems

Ma,

Zhu,

et al. 2024

IEEE Trans. Instrum. Meas.

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Exploring out-of-focus camera calibration for improved UAV survey accuracy

Naufal,

Quintero Vasquez,

Solano Correa

et al. 2024

Dimensional Optical Metrology and Inspection for Practical Applications XIII

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Calibrating large-range vision systems like UAV cameras is a complex task that often involves costly setups and the potential for errors due to inaccuracies in target fabrication. Traditional UAV surveying software typically estimates camera parameters alongside ground control points, but this method may lack optimal accuracy. Our study explores an alternative: using out-of-focus camera calibration to improve the reliability and accuracy of drone cameras for surveying. In our approach, the UAV camera is positioned several meters away from a low-cost target to ensure focus. We then calibrate the intrinsic camera parameters using an out-of-focus small calibration target, fixing these parameters before flight. For evaluation, we compare this method against the standard approach of estimating UAV camera parameters with survey imagery. Preliminary results suggest that this out-of-focus method offers a reliable and accurate solution for UAV surveying applications.

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High-precision visual imaging model and calibration method for multi-depth-of-field targets

Cited by 3 publications

References 25 publications

3D reconstruction method of defocused images based on optical system analysis

3D reconstruction method of defocused images based on optical system analysis

A Minimal Set of Parameters-Based Depth-Dependent Distortion Model and Its Calibration Method for Stereo Vision Systems

Exploring out-of-focus camera calibration for improved UAV survey accuracy

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