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

Taiki Fuji, Hironobu Fukai, Yasue Mitsukura, Takanari Tanabata, Toshio Moriya

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

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.

Original languageEnglish
Title of host publication2011 RO-MAN - 20th IEEE International Symposium on Robot and Human Interactive Communication, Symposium Digest
Pages325-330
Number of pages6
DOIs
Publication statusPublished - 2011 Sep 26
Event20th IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2011 - Atlanta, GA, United States
Duration: 2011 Jul 312011 Aug 3

Publication series

NameProceedings - IEEE International Workshop on Robot and Human Interactive Communication

Other

Other20th IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2011
CountryUnited States
CityAtlanta, GA
Period11/7/3111/8/3

ASJC Scopus subject areas

  • Software
  • Artificial Intelligence
  • Human-Computer Interaction

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