DocumentCode :
702777
Title :
Computer vision for green and secure cooperative augmented reality in Next Generation Converged Wireless Networks
Author :
Bhosale, Karuna ; Rohokale, Vandana
Author_Institution :
Eng. & Technol., Vishwaniketan Inst. of Manage. Entrepreneurship, Khalapur, India
fYear :
2015
fDate :
8-10 Jan. 2015
Firstpage :
1
Lastpage :
5
Abstract :
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.
Keywords :
augmented reality; computer vision; cooperative communication; gesture recognition; green computing; human computer interaction; next generation networks; radio networks; telecommunication security; Matlab; Open CV; computer vision; data recognition; digital resources; excitation imbalance rectification; green cooperative augmented reality; next generation converged wireless networks; response imbalance rectification; secure cooperative augmented reality; smart sensitive objects; user interaction; Augmented reality; Cameras; Computer vision; Mice; Mobile communication; Sensors; Three-dimensional displays; Computervision; Open CV; Smartobjects; augmented reality;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pervasive Computing (ICPC), 2015 International Conference on
Conference_Location :
Pune
Type :
conf
DOI :
10.1109/PERVASIVE.2015.7087189
Filename :
7087189
Link To Document :
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