• 3D cameras
• camera-projector systems
• depth cameras
• gesture based human-computer recognition
• gesture recognition
• Kinect
• mobile computing
• text tracking

In this thesis we present a portable camera-projector system controlled by a gestural human - computer interface. The system identifies research artefacts projecting related information directly back into the research space. Our main assumption is that the objects present text data on their surface and that they are in the device's field of view.
Traditional camera projector systems for text recognition employ only standard RGB cameras. These type of devices can be employed for a variety of applications but little attention has been paid to their application in the task of recognising texts in natural scene images. Previous work has been centred on the location of text in whole images, without any real interaction and requiring good resolution across the whole image. The novelty of our approach lies in the using a depth camera to assist the system in the recognition of artefacts of interest, making text tracking interactive and therefore reducing the resolution demands.
Design concepts, a prototype implementation and experimental results that show the validity of our approach are presented. Furthermore, in order to create a portable device, we undertake a preliminary investigation on the feasibility of jointly employing depth cameras with small sized computer units, which to the best of our knowledge has never been done before.