• Journal of the Korea Society of Computer and Information
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• v.17 no.1
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• pp.97-104
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• 2012

Natural User Interface(NUI) technologies introduce new trends in using devices such as computer and any other electronic devices. In this paper, an augmented reality on a mobile device is implemented by using face detection, recognition and motion tracking. The face detection is obtained by using Viola-Jones algorithm from the images of the front camera. The Eigenface algorithm is employed for face recognition and face motion tracking. The augmented reality is implemented by overlapping the rear camera image and GPS, accelerator sensors' data with the 3D graphic object which is correspond with the recognized face. The algorithms and methods are limited by the mobile device specification such as processing ability and main memory capacity.

• Journal of Digital Contents Society
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• v.8 no.2
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• pp.245-253
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• 2007

Recently, the use and application of computer graphics in the mobile and ubiquitous environment are growing. Real-time rendering and modeling for computer graphics are due to system performance, there're lots of limitation in lower system such as PDA and cell phone etc. Therefore, we suggested the intelligent Serving Rendering Middleware which is to provide adaptation service of computer graphics contents fit to user's environment real-time whatever environment the users are in. The Service Rendering Middleware needs multi-level configurations and applications, so, in this paper we propose multi-level algorithm to decide adaptation levels are deal with separately according to device performance.