A Landscape Photograph Localisation Method with a Genetic Algorithm using Image Features

Hideo Nagashima; Tetsuya Suzuki

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Paper

A Landscape Photograph Localisation Method with a Genetic Algorithm using Image Features

Topics: Evolutionary Computing; Soft Computing

In Proceedings of the 13th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, 1290-1297, 2021

Authors: Hideo Nagashima and Tetsuya Suzuki

Affiliation: Graduate School of Systems Engineering and Science, Shibaura Institute of Technology, Saitama, Japan

Keyword(s): Geolocation, Genetic Algorithm.

Abstract: It improves the utility value of landscape photographs to identify their shooting locations and shooting directions because geolocated photographs can be used for location-oriented search systems, verification of historically valuable photographs and so on. However, a large amount of labor is required to perform manual shooting location search. Therefore, we are developing a location search system for landscape photographs. To find where and how a given landscape photograph was taken, the system puts virtual cameras in three-dimensional terrain model and adjusts their parameters using a genetic algorithm. The system does not realize efficient search because it has problems such as a long processing time, a multimodal problem and optimization by genetic algorithms. In this research, we propose several efficient search methods using image features and show experimental results for evaluation of them.

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Paper citation in several formats:

Nagashima, H. and Suzuki, T. (2021). A Landscape Photograph Localisation Method with a Genetic Algorithm using Image Features. In Proceedings of the 13th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART; ISBN 978-989-758-484-8; ISSN 2184-433X, SciTePress, pages 1290-1297. DOI: 10.5220/0010394712901297

@conference{icaart21,
author={Hideo Nagashima. and Tetsuya Suzuki.},
title={A Landscape Photograph Localisation Method with a Genetic Algorithm using Image Features},
booktitle={Proceedings of the 13th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART},
year={2021},
pages={1290-1297},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010394712901297},
isbn={978-989-758-484-8},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 13th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART
TI - A Landscape Photograph Localisation Method with a Genetic Algorithm using Image Features
SN - 978-989-758-484-8
IS - 2184-433X
AU - Nagashima, H.
AU - Suzuki, T.
PY - 2021
SP - 1290
EP - 1297
DO - 10.5220/0010394712901297
PB - SciTePress