loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Author: Koji Kashihara

Affiliation: The University of Tokushima, Japan

Keyword(s): Genetic Algorithm, Hill-climbing Algorithm, Three-Dimensional Rebuilding, Image Features.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Biomedical Engineering ; Biomedical Signal Processing ; Computational Intelligence ; Data Manipulation ; Enterprise Information Systems ; Evolutionary Computing ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Hybrid Intelligent Systems ; Informatics in Control, Automation and Robotics ; Intelligent Control Systems and Optimization ; Intelligent User Interfaces ; Methodologies and Methods ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Sensor Networks ; Soft Computing

Abstract: Archaeological artifacts have been discovered all over the world. The restoration work of archaeological artifacts broken into pieces contains positioning problems. Therefore, an intelligent computer-assisted system was proposed to rebuild archaeological discoveries from fragments. A real coded genetic algorithm (GA) and a hill-climbing algorithm was evaluated to reconstruct a 3D object. The fitness function value for the GA was computed from image features of the object. The ORB (Oriented FAST and Rotated BRIEF) technique was used for solving the positional problem by the GA. The proposed method based on the GA with the image features was able to efficiently regulate the 3D surfaces. In further researches, the proposed method for 3D rebuilding could be applied to various practical applications.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.14.145.167

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Kashihara, K. (2014). Restoration of Archaeological Artifacts by a Genetic Algorithm with Image Features. In Proceedings of the 6th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART; ISBN 978-989-758-015-4; ISSN 2184-433X, SciTePress, pages 691-695. DOI: 10.5220/0004920106910695

@conference{icaart14,
author={Koji Kashihara.},
title={Restoration of Archaeological Artifacts by a Genetic Algorithm with Image Features},
booktitle={Proceedings of the 6th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART},
year={2014},
pages={691-695},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004920106910695},
isbn={978-989-758-015-4},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 6th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART
TI - Restoration of Archaeological Artifacts by a Genetic Algorithm with Image Features
SN - 978-989-758-015-4
IS - 2184-433X
AU - Kashihara, K.
PY - 2014
SP - 691
EP - 695
DO - 10.5220/0004920106910695
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic