Urban landmark detection using A-KAZE features and vector of aggregated local descriptors

Urban landmark detection using A-KAZE features and vector of aggregated local descriptors

Urban landmarks detection systems represent a research topic that is continuously pursued in the Computer Vision domain. These systems play an important role in tourism and cultural heritage storytelling augmented reality applications in urban environments. In this paper, we propose a system that ai...

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Bibliographic Details
Published in:2022 International Symposium on Electronics and Telecommunications (ISETC) pp. 1 - 4
Main Authors: Orhei, Ciprian, Radu, Lucian, Mocofan, Muguras, Vert, Silviu, Vasiu, Radu
Format: Conference Proceeding
Language:English
Published: IEEE 10-11-2022
Subjects:
A-KAZE
Augmented reality
building recognition
Buildings
Computer vision
Cultural differences
Feature extraction
Telecommunications
TMBuD
Urban areas
urban landmark detection
VLAD
ZuBuD
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Summary:Urban landmarks detection systems represent a research topic that is continuously pursued in the Computer Vision domain. These systems play an important role in tourism and cultural heritage storytelling augmented reality applications in urban environments. In this paper, we propose a system that aims to recognize landmarks from urban scenarios using A-KAZE features and aggregated local descriptors. The proposed system was evaluated on popular public datasets like ZuBuD and TMBuD obtaining positive results.
ISSN:2475-7861
DOI:10.1109/ISETC56213.2022.10009951