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

Hideo Nagashima, Tetsuya Suzuki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish
Title of host publicationICAART 2021 - Proceedings of the 13th International Conference on Agents and Artificial Intelligence
EditorsAna Paula Rocha, Luc Steels, Jaap van den Herik
PublisherSciTePress
Pages1290-1297
Number of pages8
ISBN (Electronic)9789897584848
Publication statusPublished - 2021
Event13th International Conference on Agents and Artificial Intelligence, ICAART 2021 - Virtual, Online
Duration: 2021 Feb 42021 Feb 6

Publication series

NameICAART 2021 - Proceedings of the 13th International Conference on Agents and Artificial Intelligence
Volume2

Conference

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

Keywords

  • Genetic algorithm
  • Geolocation

ASJC Scopus subject areas

  • Artificial Intelligence
  • Software

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