Cargando…

Occluded-Object 3D Reconstruction Using Camera Array Synthetic Aperture Imaging

With the three-dimensional (3D) coordinates of objects captured by a sequence of images taken in different views, object reconstruction is a technique which aims to recover the shape and appearance information of objects. Although great progress in object reconstruction has been made over the past f...

Descripción completa

Detalles Bibliográficos
Autores principales: Pei, Zhao, Li, Yawen, Ma, Miao, Li, Jun, Leng, Chengcai, Zhang, Xiaoqiang, Zhang, Yanning
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6386989/
https://www.ncbi.nlm.nih.gov/pubmed/30709046
http://dx.doi.org/10.3390/s19030607
_version_ 1783397469765238784
author Pei, Zhao
Li, Yawen
Ma, Miao
Li, Jun
Leng, Chengcai
Zhang, Xiaoqiang
Zhang, Yanning
author_facet Pei, Zhao
Li, Yawen
Ma, Miao
Li, Jun
Leng, Chengcai
Zhang, Xiaoqiang
Zhang, Yanning
author_sort Pei, Zhao
collection PubMed
description With the three-dimensional (3D) coordinates of objects captured by a sequence of images taken in different views, object reconstruction is a technique which aims to recover the shape and appearance information of objects. Although great progress in object reconstruction has been made over the past few years, object reconstruction in occlusion situations remains a challenging problem. In this paper, we propose a novel method to reconstruct occluded objects based on synthetic aperture imaging. Unlike most existing methods, which either assume that there is no occlusion in the scene or remove the occlusion from the reconstructed result, our method uses the characteristics of synthetic aperture imaging that can effectively reduce the influence of occlusion to reconstruct the scene with occlusion. The proposed method labels occlusion pixels according to variance and reconstructs the 3D point cloud based on synthetic aperture imaging. Accuracies of the point cloud are tested by calculating the spatial difference between occlusion and non-occlusion conditions. The experiment results show that the proposed method can handle the occluded situation well and demonstrates a promising performance.
format Online
Article
Text
id pubmed-6386989
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-63869892019-02-26 Occluded-Object 3D Reconstruction Using Camera Array Synthetic Aperture Imaging Pei, Zhao Li, Yawen Ma, Miao Li, Jun Leng, Chengcai Zhang, Xiaoqiang Zhang, Yanning Sensors (Basel) Article With the three-dimensional (3D) coordinates of objects captured by a sequence of images taken in different views, object reconstruction is a technique which aims to recover the shape and appearance information of objects. Although great progress in object reconstruction has been made over the past few years, object reconstruction in occlusion situations remains a challenging problem. In this paper, we propose a novel method to reconstruct occluded objects based on synthetic aperture imaging. Unlike most existing methods, which either assume that there is no occlusion in the scene or remove the occlusion from the reconstructed result, our method uses the characteristics of synthetic aperture imaging that can effectively reduce the influence of occlusion to reconstruct the scene with occlusion. The proposed method labels occlusion pixels according to variance and reconstructs the 3D point cloud based on synthetic aperture imaging. Accuracies of the point cloud are tested by calculating the spatial difference between occlusion and non-occlusion conditions. The experiment results show that the proposed method can handle the occluded situation well and demonstrates a promising performance. MDPI 2019-01-31 /pmc/articles/PMC6386989/ /pubmed/30709046 http://dx.doi.org/10.3390/s19030607 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Pei, Zhao
Li, Yawen
Ma, Miao
Li, Jun
Leng, Chengcai
Zhang, Xiaoqiang
Zhang, Yanning
Occluded-Object 3D Reconstruction Using Camera Array Synthetic Aperture Imaging
title Occluded-Object 3D Reconstruction Using Camera Array Synthetic Aperture Imaging
title_full Occluded-Object 3D Reconstruction Using Camera Array Synthetic Aperture Imaging
title_fullStr Occluded-Object 3D Reconstruction Using Camera Array Synthetic Aperture Imaging
title_full_unstemmed Occluded-Object 3D Reconstruction Using Camera Array Synthetic Aperture Imaging
title_short Occluded-Object 3D Reconstruction Using Camera Array Synthetic Aperture Imaging
title_sort occluded-object 3d reconstruction using camera array synthetic aperture imaging
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6386989/
https://www.ncbi.nlm.nih.gov/pubmed/30709046
http://dx.doi.org/10.3390/s19030607
work_keys_str_mv AT peizhao occludedobject3dreconstructionusingcameraarraysyntheticapertureimaging
AT liyawen occludedobject3dreconstructionusingcameraarraysyntheticapertureimaging
AT mamiao occludedobject3dreconstructionusingcameraarraysyntheticapertureimaging
AT lijun occludedobject3dreconstructionusingcameraarraysyntheticapertureimaging
AT lengchengcai occludedobject3dreconstructionusingcameraarraysyntheticapertureimaging
AT zhangxiaoqiang occludedobject3dreconstructionusingcameraarraysyntheticapertureimaging
AT zhangyanning occludedobject3dreconstructionusingcameraarraysyntheticapertureimaging