Three-Dimensional Reconstruction of Light Field Based on Phase Similarity

Light field imaging plays an increasingly important role in the field of three-dimensional (3D) reconstruction because of its ability to quickly obtain four-dimensional information (angle and space) of the scene. In this paper, a 3D reconstruction method of light field based on phase similarity is p...

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Autores principales:	Wei Feng, Junhui Gao, Tong Qu, Shiqi Zhou, Daxing Zhao
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	light field phase information 3D reconstruction fringes projection Chemical technology TP1-1185
Acceso en línea:	https://doaj.org/article/1d6d35a4a91d4d13b98ddc41989e2cf5
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id	oai:doaj.org-article:1d6d35a4a91d4d13b98ddc41989e2cf5
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spelling	oai:doaj.org-article:1d6d35a4a91d4d13b98ddc41989e2cf52021-11-25T18:58:51ZThree-Dimensional Reconstruction of Light Field Based on Phase Similarity10.3390/s212277341424-8220https://doaj.org/article/1d6d35a4a91d4d13b98ddc41989e2cf52021-11-01T00:00:00Zhttps://www.mdpi.com/1424-8220/21/22/7734https://doaj.org/toc/1424-8220Light field imaging plays an increasingly important role in the field of three-dimensional (3D) reconstruction because of its ability to quickly obtain four-dimensional information (angle and space) of the scene. In this paper, a 3D reconstruction method of light field based on phase similarity is proposed to increase the accuracy of depth estimation and the scope of applicability of epipolar plane image (EPI). The calibration method of the light field camera was used to obtain the relationship between disparity and depth, and the projector calibration was removed to make the experimental procedure more flexible. Then, the disparity estimation algorithm based on phase similarity was designed to effectively improve the reliability and accuracy of disparity calculation, in which the phase information was used instead of the structure tensor, and the morphological processing method was used to denoise and optimize the disparity map. Finally, 3D reconstruction of the light field was realized by combining disparity information with the calibrated relationship. The experimental results showed that the reconstruction standard deviation of the two objects was 0.3179 mm and 0.3865 mm compared with the ground truth of the measured objects, respectively. Compared with the traditional EPI method, our method can not only make EPI perform well in a single scene or blurred texture situations but also maintain good reconstruction accuracy.Wei FengJunhui GaoTong QuShiqi ZhouDaxing ZhaoMDPI AGarticlelight fieldphase information3D reconstructionfringes projectionChemical technologyTP1-1185ENSensors, Vol 21, Iss 7734, p 7734 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	light field phase information 3D reconstruction fringes projection Chemical technology TP1-1185
spellingShingle	light field phase information 3D reconstruction fringes projection Chemical technology TP1-1185 Wei Feng Junhui Gao Tong Qu Shiqi Zhou Daxing Zhao Three-Dimensional Reconstruction of Light Field Based on Phase Similarity
description	Light field imaging plays an increasingly important role in the field of three-dimensional (3D) reconstruction because of its ability to quickly obtain four-dimensional information (angle and space) of the scene. In this paper, a 3D reconstruction method of light field based on phase similarity is proposed to increase the accuracy of depth estimation and the scope of applicability of epipolar plane image (EPI). The calibration method of the light field camera was used to obtain the relationship between disparity and depth, and the projector calibration was removed to make the experimental procedure more flexible. Then, the disparity estimation algorithm based on phase similarity was designed to effectively improve the reliability and accuracy of disparity calculation, in which the phase information was used instead of the structure tensor, and the morphological processing method was used to denoise and optimize the disparity map. Finally, 3D reconstruction of the light field was realized by combining disparity information with the calibrated relationship. The experimental results showed that the reconstruction standard deviation of the two objects was 0.3179 mm and 0.3865 mm compared with the ground truth of the measured objects, respectively. Compared with the traditional EPI method, our method can not only make EPI perform well in a single scene or blurred texture situations but also maintain good reconstruction accuracy.
format	article
author	Wei Feng Junhui Gao Tong Qu Shiqi Zhou Daxing Zhao
author_facet	Wei Feng Junhui Gao Tong Qu Shiqi Zhou Daxing Zhao
author_sort	Wei Feng
title	Three-Dimensional Reconstruction of Light Field Based on Phase Similarity
title_short	Three-Dimensional Reconstruction of Light Field Based on Phase Similarity
title_full	Three-Dimensional Reconstruction of Light Field Based on Phase Similarity
title_fullStr	Three-Dimensional Reconstruction of Light Field Based on Phase Similarity
title_full_unstemmed	Three-Dimensional Reconstruction of Light Field Based on Phase Similarity
title_sort	three-dimensional reconstruction of light field based on phase similarity
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/1d6d35a4a91d4d13b98ddc41989e2cf5
work_keys_str_mv	AT weifeng threedimensionalreconstructionoflightfieldbasedonphasesimilarity AT junhuigao threedimensionalreconstructionoflightfieldbasedonphasesimilarity AT tongqu threedimensionalreconstructionoflightfieldbasedonphasesimilarity AT shiqizhou threedimensionalreconstructionoflightfieldbasedonphasesimilarity AT daxingzhao threedimensionalreconstructionoflightfieldbasedonphasesimilarity
_version_	1718410449889787904

Three-Dimensional Reconstruction of Light Field Based on Phase Similarity

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