Marker-less Vision Based Tracking for Mobile Augmented Reality
ISMAR '03 Proceedings of the 2nd IEEE/ACM International Symposium on Mixed and Augmented Reality
Real-world interaction with camera phones
UCS'04 Proceedings of the Second international conference on Ubiquitous Computing Systems
Doodle space: painting on a public display by cam-phone
AMC '09 Proceedings of the 2009 workshop on Ambient media computing
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Mobile phones interactions are mostly done via the buttons, thumbwheels or touchscreens. Thus, in this paper we present an approach for enhancing Human-Computer Interaction (HCI) on camera-equipped mobile phones. By using this approach a user is able to interact with an application by moving the mobile phone. The built-in camera is used to capture frame sequences while the movement and rotation are being estimated. The movement and rotation data are used as an input for the application. In our approach, we present some method to overcome the limitation of the mobile phone and further enhance the precision as previously reported by other researchers. The algorithm used in estimating the 3D motion is the neuron network. To conclude, some examples of the implementations using the proposed approach are discussed in this work.