Efficient 3D Volume Reconstruction from a Point Cloud Using a Phase-Field Method
We propose an explicit hybrid numerical method for the efficient 3D volume reconstruction from unorganized point clouds using a phase-field method. The proposed three-dimensional volume reconstruction algorithm is based on the 3D binary image segmentation method. First, we define a narrow band domai...
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2018-01-01
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Series: | Mathematical Problems in Engineering |
Online Access: | http://dx.doi.org/10.1155/2018/7090186 |
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doaj-febec2519472455ea05cf4e9289625ec2020-11-24T22:20:02ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472018-01-01201810.1155/2018/70901867090186Efficient 3D Volume Reconstruction from a Point Cloud Using a Phase-Field MethodDarae Jeong0Yibao Li1Heon Ju Lee2Sang Min Lee3Junxiang Yang4Seungwoo Park5Hyundong Kim6Yongho Choi7Junseok Kim8Department of Mathematics, Korea University, Seoul 02841, Republic of KoreaSchool of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an 710049, ChinaROKIT Inc., Seoul 08512, Republic of KoreaROKIT Inc., Seoul 08512, Republic of KoreaDepartment of Mathematics, Korea University, Seoul 02841, Republic of KoreaDepartment of Mathematics, Korea University, Seoul 02841, Republic of KoreaDepartment of Mathematics, Korea University, Seoul 02841, Republic of KoreaDepartment of Mathematics, Korea University, Seoul 02841, Republic of KoreaDepartment of Mathematics, Korea University, Seoul 02841, Republic of KoreaWe propose an explicit hybrid numerical method for the efficient 3D volume reconstruction from unorganized point clouds using a phase-field method. The proposed three-dimensional volume reconstruction algorithm is based on the 3D binary image segmentation method. First, we define a narrow band domain embedding the unorganized point cloud and an edge indicating function. Second, we define a good initial phase-field function which speeds up the computation significantly. Third, we use a recently developed explicit hybrid numerical method for solving the three-dimensional image segmentation model to obtain efficient volume reconstruction from point cloud data. In order to demonstrate the practical applicability of the proposed method, we perform various numerical experiments.http://dx.doi.org/10.1155/2018/7090186 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Darae Jeong Yibao Li Heon Ju Lee Sang Min Lee Junxiang Yang Seungwoo Park Hyundong Kim Yongho Choi Junseok Kim |
spellingShingle |
Darae Jeong Yibao Li Heon Ju Lee Sang Min Lee Junxiang Yang Seungwoo Park Hyundong Kim Yongho Choi Junseok Kim Efficient 3D Volume Reconstruction from a Point Cloud Using a Phase-Field Method Mathematical Problems in Engineering |
author_facet |
Darae Jeong Yibao Li Heon Ju Lee Sang Min Lee Junxiang Yang Seungwoo Park Hyundong Kim Yongho Choi Junseok Kim |
author_sort |
Darae Jeong |
title |
Efficient 3D Volume Reconstruction from a Point Cloud Using a Phase-Field Method |
title_short |
Efficient 3D Volume Reconstruction from a Point Cloud Using a Phase-Field Method |
title_full |
Efficient 3D Volume Reconstruction from a Point Cloud Using a Phase-Field Method |
title_fullStr |
Efficient 3D Volume Reconstruction from a Point Cloud Using a Phase-Field Method |
title_full_unstemmed |
Efficient 3D Volume Reconstruction from a Point Cloud Using a Phase-Field Method |
title_sort |
efficient 3d volume reconstruction from a point cloud using a phase-field method |
publisher |
Hindawi Limited |
series |
Mathematical Problems in Engineering |
issn |
1024-123X 1563-5147 |
publishDate |
2018-01-01 |
description |
We propose an explicit hybrid numerical method for the efficient 3D volume reconstruction from unorganized point clouds using a phase-field method. The proposed three-dimensional volume reconstruction algorithm is based on the 3D binary image segmentation method. First, we define a narrow band domain embedding the unorganized point cloud and an edge indicating function. Second, we define a good initial phase-field function which speeds up the computation significantly. Third, we use a recently developed explicit hybrid numerical method for solving the three-dimensional image segmentation model to obtain efficient volume reconstruction from point cloud data. In order to demonstrate the practical applicability of the proposed method, we perform various numerical experiments. |
url |
http://dx.doi.org/10.1155/2018/7090186 |
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