Reconstruction of Three-Dimensional Object from Two-Dimensional Images by Utilizing Distance Regularized Level Algorithm and Mesh Object Generation

Reconstruction of Three-Dimensional Object from Two-Dimensional Images by Utilizing Distance Regularized Level Algorithm and Mesh Object Generation

Three-dimensional (3D) reconstruction from images is a most beneficial method of object regeneration by using a photo-realistic way that can be used in many fields. For industrial fields, it can be used to visualize the cracks within alloys or walls. In medical fields, it has been used as 3D scanner...

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Bibliographic Details
Main Authors: Samera Shams Hussei, Sukaina Sh Altyar, Lubab Ahmed Tawfeeq, Eman S. Harba
Format: Article
Language:English
Published: University of Baghdad, College of Science for Women 2020-07-01
Series:مجلة بغداد للعلوم
Subjects:
Crack reconstruction, Distance Regularized Level Set Evolution Segmentation, EndoScope, 3D Object Reconstruction, 3D Scanner, Small hole reconstruction.
Online Access:http://bsj.uobaghdad.edu.iq/index.php/BSJ/article/view/3009
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