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Computer vision for green and secure cooperative augmented reality in Next Generation Converged Wireless Networks

Computer vision for green and secure cooperative augmented reality in Next Generation Converged Wireless Networks With the help of digital resources, self-description of smart objects causes some limitation into the input qualities because of the long established physical appearances. Also to realize the capability of objects to understand and recognize the data. If an uninstrumented surface is provided, the object should be able to sense gestures and touches upon the surface. To design an area for supporting whole body metaphors physical movements and position of entire body .Objects such as sensors, processors and radios are integrated invisibly into smart sensitive objects for user interaction. In this paper, we propose to rectify the excitation and response imbalance by augmentation of smart objects with natural appearance of it. To achieve this, we propose the implementation of computer vision for cooperative augmented reality by open CV using matlab.

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