In 2006 mobile phones were an essential part of life for two billion users. Today, smartphones offer even more advanced computing abilities and connectivity which allows for all sorts of different ingenious applications. As a result of this, an increased interest has evolved around how smartphones can connect and interact with other devices in our environment. Bluetooth and Near field communication are two examples of existing technologies that have been developed to solve the problem of how to connect multiple devices in an intuitive way.
This thesis describes a system which identifies when a mobile device is pointing at a positioned screen, in order to invoke a connection between them. The term positioned screen in this context refers to a television, a monitor or content projected on a projection screen. The system is capable of processing images rapidly while achieving high detection rates. There are two key contributions. The first is the introduction of a rectangular image during the identification phase on the positioned screen. The second contribution is an algorithm for comparing the identified FAST corner points from two different sources. This algorithm can be executed on an average of 39.8 micro seconds on a standard PC with an estimated successful detection rate of 93.3%. The overall system accurately evaluates approximately 4 frames per second which is enough to identify real-time illustrated content on the positioned screen.
Finally, there are many possibly interesting user scenarios for when a mobile device has successfully connected to a positioned screen. We have identified five different types of activities that could be especially entertaining for the end-users of the presented system.
Identifying and connecting to screens using mobile phone cameras,
Åberg, Martin and Hemby, Max; Master Thesis, Lund University, February 2011.
If you want to cite this master thesis, plese use the following Bibtex:
@mastersthesis{mm_2011_master,
title = "Identifying and connecting to screens using mobile phone cameras",
author = "Åberg, Martin and Hemby, Max",
school = "Lund University",
year = "2011",
month = "February",
url = "http://www.maths.lth.se/vision/education/pages/MM11/rep.pdf"
}