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The proposal of model-based initial frame alignment using real-coded GA for mixed reality | IEEE Conference Publication | IEEE Xplore

The proposal of model-based initial frame alignment using real-coded GA for mixed reality


Abstract:

In this paper, we propose a model-based alignment system using real-coded genetic algorithm (RGA) for mixed reality (MR) or augmented reality (AR). MR/AR is a technique f...Show More

Abstract:

In this paper, we propose a model-based alignment system using real-coded genetic algorithm (RGA) for mixed reality (MR) or augmented reality (AR). MR/AR is a technique for superimposing useful virtual information on the real world to provide users more effective views. To realize the MR/AR, the alignment between real space and virtual space is a serious problem. In particular, an initial frame alignment for real-time tracking is needed in the previous knowledge based MR/AR. Therefore, we propose an initial frame alignment method using RGA. In this paper, we use the multiple RGA generation alternation models, crossovers, and mutations to design an optimum GA for the alignment system. This paper shows the expanding version of the pre-proposed method by our system. In order to show the effectiveness of proposed method, we perform some matching simulations when we applied to the real space.
Published in: 2011 RO-MAN
Date of Conference: 31 July 2011 - 03 August 2011
Date Added to IEEE Xplore: 29 August 2011
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Conference Location: Atlanta, GA, USA

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