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Multi-recognition Mode-based Interactive Exhibition Platform Research And Implement

Posted on:2013-11-25Degree:MasterType:Thesis
Country:ChinaCandidate:Y H WuFull Text:PDF
GTID:2248330362963699Subject:Software engineering
Abstract/Summary:PDF Full Text Request
With the growth of exhibition industry, the so called new media technology hasgradually become a mainstream to display and demonstrate. As one of the branches ofnew media technology, image recognition was widely used in different situation. In ourdaily life, the cases of human-computer interaction based on single recognition werealmost everywhere. But as the market demand for various and diversified interactioncontinuously rose up, the single recognition mode could hardly offer enough support.Thus, people attempted to combine different single recognition modes together to bringout new solutions for complex interaction. In practice, this multi-recognition mode wasstill a great challenge for us because of the information fusion problems.Under the multi-recognition mode, there’re some challenges to the information fusion:Poor compatibility, unsatisfactory stability and high difficulty of developing. This articlehad figured out a possible way to fix these problems. First, the fundamental units would bemodularized. Second, the various input sources and recognition modes could be integratedthrough a uniform interface mode. In this way, the interaction cases processed undermulti-recognition mode would be much more stable and flexible.An interaction platform was also brought out by this article. Through this platform,the various input sources and recognition modes could be integrated in a visual way,which was flexible and efficient, so as to function the multi-recognition mode andinformation integration smoothly. Through experiences and practices, thismulti-recognition method, which has characteristics of rapid developing, high flexibilityand good stability, has been proved to be a good way to process the various interactioncases.
Keywords/Search Tags:New media, AR, Image processing, Multiple pattern recognition, Informationfusion
PDF Full Text Request
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