Efficient 3D Volume Reconstruction from a Point Cloud Using a Phase-Field Method

Darae Jeong, Yibao Li, Heon Ju Lee, Sang Min Lee, Junxiang Yang, Seungwoo Park, Hyundong Kim, Yongho Choi, Junseok Kim

Research output: Contribution to journalArticlepeer-review

13 Citations (Scopus)

Abstract

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.

Original languageEnglish
Article number7090186
JournalMathematical Problems in Engineering
Volume2018
DOIs
Publication statusPublished - 2018

Bibliographical note

Funding Information:
The first author (D. Jeong) was supported by the National Research Foundation of Korea (NRF) grant funded by the Korean Government (MSIP) (NRF-2017R1E1A1A03070953). The corresponding author (Junseok Kim) was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry

Publisher Copyright:
© 2018 Darae Jeong et al.

ASJC Scopus subject areas

  • General Mathematics
  • General Engineering

Fingerprint

Dive into the research topics of 'Efficient 3D Volume Reconstruction from a Point Cloud Using a Phase-Field Method'. Together they form a unique fingerprint.

Cite this