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

Hideo Nagashima, Tetsuya Suzuki

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 Harvard Style

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, pages 1290-1297. DOI: 10.5220/0010394712901297


in Bibtex Style

@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},
}


in EndNote Style

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
AU - Nagashima H.
AU - Suzuki T.
PY - 2021
SP - 1290
EP - 1297
DO - 10.5220/0010394712901297