Handheld Device Research And Application Of Interactive Technology-based Augmented Reality And The Reality

Augmented Reality (Augmented Reality, referred to as AR) is a new field of research developed on the basis of virtual reality technology (Virtual Reality, referred to as VR). It also is an important development direction of human-machine interface technology. Augmented reality technology accurately adds the computer-generated virtual objects and their related information to the real environment, you can see a reality-virtual space by display device which virtual objects seamlessly integrated into a real scene. It can brings a more real and new environment. As the development of mobile devices and technology, design augmented reality system on such handheld device of high universality, high diffusion rate, portable, low energy consumption will promote the development of augmented reality technology and bring important theoretical significance and practical significance.Human-computer interaction technology's technical core shifted from computer to users. The gestures of human is interpersonal communication methods which is the most natural, intuitive and easy to master and contains much more interactive information. Users can directly use hand as a computer input device, issued an order through the gestures, does not require the media to achieve human-computer interaction. So, the interaction based on gesture recognition technology has gradually become a research highlight in human-computer interaction research field.Therefore, the study of interactive technology of AR based on handheld devices will bring great practical value. The main work in this paper is as followed:Firstly, a algorithm of adaptive three frame difference moving target detection is proposed. Moving target detection is a prerequisite for interaction. By analyzing the strengths and weaknesses of mainstream video detection methods, a new algorithm based on moving target rate which could adaptive adjust frame interval is proposed. The experiments show that this algorithm is faster than other existed methods used aimed at moving target detection. Therefore it is feasible for end-users'devices with low computational performance effectively and reduce the processing delays of handheld devices.The reality interactive system based on handheld devices needs integrated cameras capture real-time video image. As the user unconscious physiological hand shake or move mobile handheld devices are likely to result the background changes. Surendra's algorithm which could achieve adaptive update the background, combined with adaptive three frame difference and background difference solved detection error problems be caused by jitter on hand-held device. It can improve the detection accuracy and effectiveness.