A landscape photograph localisation method with a genetic algorithm using image features

Hideo Nagashima, Tetsuya Suzuki

研究成果: Conference contribution

抄録

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.

本文言語English
ホスト出版物のタイトルICAART 2021 - Proceedings of the 13th International Conference on Agents and Artificial Intelligence
編集者Ana Paula Rocha, Luc Steels, Jaap van den Herik
出版社SciTePress
ページ1290-1297
ページ数8
ISBN(電子版)9789897584848
出版ステータスPublished - 2021
イベント13th International Conference on Agents and Artificial Intelligence, ICAART 2021 - Virtual, Online
継続期間: 2021 2 42021 2 6

出版物シリーズ

名前ICAART 2021 - Proceedings of the 13th International Conference on Agents and Artificial Intelligence
2

Conference

Conference13th International Conference on Agents and Artificial Intelligence, ICAART 2021
CityVirtual, Online
Period21/2/421/2/6

ASJC Scopus subject areas

  • 人工知能
  • ソフトウェア

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