Summary
In this paper a method for identification of urban objects in images recorded by a built-in mobile phone camera was proposed. The application for the Symbian smartphones was written in C++ using a modified Nokia Computer Vision Library. The algorithm is based on Scale-Invariant Feature Transform and can be utilized in a number of applications, such as city or tourist guides, systems of virtual reality or as an aid to navigation for visually impaired persons.
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Skulimowski, P., Matusiak, K. (2011). Urban Object Identification in Scenes Recorded by a Smartphone. In: Choraś, R.S. (eds) Image Processing and Communications Challenges 3. Advances in Intelligent and Soft Computing, vol 102. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23154-4_39
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DOI: https://doi.org/10.1007/978-3-642-23154-4_39
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23153-7
Online ISBN: 978-3-642-23154-4
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