Login
Register
Reset Password
Publish & Distribute
Publishing Solutions
Distribution Solutions
Subjects
Architecture and Design
Arts
Business and Economics
Chemistry
Classical and Ancient Near Eastern Studies
Computer Sciences
Cultural Studies
Engineering
General Interest
Geosciences
History
Industrial Chemistry
Jewish Studies
Law
Library and Information Science, Book Studies
Life Sciences
Linguistics and Semiotics
Literary Studies
Materials Sciences
Mathematics
Medicine
Music
Pharmacy
Philosophy
Physics
Social Sciences
Sports and Recreation
Theology and Religion
Publications
Journals
Books
Proceedings
Publishers
Blog
Contact
Search
EUR
USD
GBP
English
English
Deutsch
Polski
Español
Français
Italiano
Cart
Home
Journals
International Journal of Applied Mathematics and Computer Science
Volume 31 (2021): Issue 3 (September 2021)
Open Access
A Linearization–Based Hybrid Approach for 3D Reconstruction of Objects in a Single Image
Muhammed Kotan
Muhammed Kotan
,
Cemil Öz
Cemil Öz
and
Abdulgani Kahraman
Abdulgani Kahraman
| Sep 27, 2021
International Journal of Applied Mathematics and Computer Science
Volume 31 (2021): Issue 3 (September 2021)
About this article
Previous Article
Next Article
Abstract
References
Authors
Articles in this Issue
Preview
PDF
Cite
Share
Published Online:
Sep 27, 2021
Page range:
501 - 513
Received:
Nov 05, 2020
Accepted:
Jun 08, 2021
DOI:
https://doi.org/10.34768/amcs-2021-0034
Keywords
3D reconstruction
,
shape from shading
,
shape recovery
,
image comparison
,
surface inspection
© 2021 Muhammed Kotan et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Muhammed Kotan
Department of Information Systems Engineering, Sakarya University
Turkey
Cemil Öz
Department of Computer Engineering, Sakarya University
Turkey
Abdulgani Kahraman
Department of Computer Engineering and Computer Science, University of Louisville