IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

A Practical Perspective on Building Identification from Low-Resolution Mobile Images

A Practical Perspective on Building Identification from Low-Resolution Mobile Images
View Sample PDF
Author(s): Wanji Mai (Queen’s University Belfast, Northern Ireland), Chris Tweed (Welsh School of Architecture, UK), Peter Hung (National University of Ireland Maynooth, Ireland), Seán McLoone (National University of Ireland Maynooth, Ireland) and Ronan Farrell (National University of Ireland Maynooth, Ireland)
Copyright: 2009
Pages: 18
Source title: Handbook of Research on Mobile Multimedia, Second Edition
Source Author(s)/Editor(s): Ismail Khalil (Johannes Kepler University Linz, Austria)
DOI: 10.4018/978-1-60566-046-2.ch024

Purchase

View A Practical Perspective on Building Identification from Low-Resolution Mobile Images on the publisher's website for pricing and purchasing information.

Abstract

In this chapter, the idea of identification of outdoor buildings using mobile devices is presented. The prototype system involves integration of various hardware devices and a building identification application using sensor fusion. The goal is to allow real-time interaction with clients and provide ‘location-based’ information about the building after identification. Clients, such as a PDA, can wirelessly connect to a server that handles building identification requests. It consists of a GIS server, an application for communication with clients, an image database used to identify the building and a ‘location-based’ image processing application. The data collected include a captured image of the object concerned as well as the corresponding GPS positioning and orientation data. Several different image processing techniques are employed to study the different features of an image, including the colour structure, roof shape as well as building textures. Promising experimental results are presented showing both the individual feature matching and overall matching performance.

Related Content

K. Jairam Naik, Annukriti Soni. © 2021. 18 pages.
Randhir Kumar, Rakesh Tripathi. © 2021. 22 pages.
Yogesh Kumar Gupta. © 2021. 38 pages.
Kamel H. Rahouma, Ayman A. Ali. © 2021. 34 pages.
Muni Sekhar Velpuru. © 2021. 19 pages.
Vijayakumari B.. © 2021. 24 pages.
Neetu Faujdar, Anant Joshi. © 2021. 41 pages.
Body Bottom