Depth estimation and validation of plenoptic light field camera

Book chapter

Khan, Ali, Hossain, Md. Moinul, Sirlantzis, Konstantinos, Covaci, Alexandra and Chowdhury, Wasif Shafaet 2023. Depth estimation and validation of plenoptic light field camera. in: 2023 IEEE International Conference on Imaging Systems and Techniques (IST) IEEE.
AuthorsKhan, Ali, Hossain, Md. Moinul, Sirlantzis, Konstantinos, Covaci, Alexandra and Chowdhury, Wasif Shafaet
Abstract

A light field (LF) camera can record both the spatial and directional information of light rays in a three-dimensional (3D) scene. This is different from traditional photography, which sums up all the light rays to record their intensity and discard the directional information. Accurate depth estimation is crucial for 3D sense reconstruction which can be achieved by the directional information provided by the LF camera. In this study, a refocus model has been examined to accurately estimate the metric depth of a 3D scene. A range of camera calibrations has been conducted to determine the refocus model parameters and thus to achieve accurate depth estimation. Ground truth data from a stereo camera is utilized to validate the calibrations. The results indicate that the root-mean-square error is approximately 5cm when the depth range is 23.5cm to 65.5cm. Therefore, it is demonstrated that the proposed refocused model is feasible to estimate the depth information of the 3D scene accurately.

KeywordsMeasurement; Photography; Solid modeling; Three-dimensional displays; Estimation; Virtual reality; Reconstruction algorithms; Light field imaging; Refocusing; Plenoptic camera; Depth estimation; Camera calibration
Year2023
Book title2023 IEEE International Conference on Imaging Systems and Techniques (IST)
PublisherIEEE
Output statusPublished
ISBN9798350330830
Publication dates
Online17 Oct 2023
Publication process dates
Deposited03 Jan 2024
Digital Object Identifier (DOI)https://doi.org/10.1109/ist59124.2023.10355697
Official URLhttps://ieeexplore.ieee.org/document/10355697
FunderInterreg 2 Seas programme 2014−2020
European Regional Development Fund under subsidy contract No. 2S05-038 (MOTION project)
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