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2013 | OriginalPaper | Chapter

A SURF Feature Based Building Recognition System for Distinctive Architectures

Authors : Shio-Wen Chen, Yi-Hao Chung, Hsin-Fu Chien, Chueh-Wei Chang

Published in: Information Technology Convergence

Publisher: Springer Netherlands

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Abstract

Buildings plays a very important role in the development of culture, art, history, and in our daily life. If we can retrieve unique features for describing a building, it might have some helps for architecture history, digital resources of architecture, even for determining the position of a person in the urban area. As the popularity of smart mobile devices, if we could have some interesting application for getting information of buildings around user, by captured building images in any direction and view, it will be a great help for the promotion of culture and tourism industry. In this paper, we propose a preliminary building recognition system using the SURF and color features for distinctive buildings in a city. This system using Google Street View’s images as a feature learning database. Based on the research of buildings’ characteristics in a modern city, the recognition system can identify buildings efficiently in different scales, rotation, and partial occlusion of the building’s image in this system.

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Metadata
Title
A SURF Feature Based Building Recognition System for Distinctive Architectures
Authors
Shio-Wen Chen
Yi-Hao Chung
Hsin-Fu Chien
Chueh-Wei Chang
Copyright Year
2013
Publisher
Springer Netherlands
DOI
https://doi.org/10.1007/978-94-007-6996-0_12