Building recognition using local oriented features

Li, J. and Allinson, Nigel (2013) Building recognition using local oriented features. IEEE Transactions on Industrial Informatics, 9 (3). pp. 1697-1704. ISSN 1551-3203

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Building recognition is an important task for a wide range of computer vision applications, e.g., surveillance and intelligent navigation aid. However, it is also challenging since each building can be viewed from different angles, under different lighting conditions, etc, resulting in a large variability among building images. A number of building recognition systems have been proposed in recent years. However, most of them are based on a complex feature extraction process. In this paper, we present a new building recognition model based on local oriented features with an arbitrary orientation. Although the newly proposed model is very simple, it offers a modular, computationally efficient, and effective alternative to other building recognition techniques. According to a comparison of experimental results with the state-of-the-art building recognition systems, it is shown that the newly proposed SFBR model can obtain very satisfactory recognition accuracy despite its simplicity.

Additional Information:Paper no. TII-12-0694
Keywords:Computer vision
Subjects:G Mathematical and Computer Sciences > G740 Computer Vision
Divisions:College of Science > School of Computer Science
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ID Code:9700
Deposited On:03 Jun 2013 11:27

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