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    Augmented Reality with Multilayer Occlusion

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    099-104.pdf (266.7Kb)
    Date
    2006
    Author
    Feng, Yan
    Chen, Yimin
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    Abstract
    An algorithm for realizing multilayer occlusion in augmented reality (AR) is presented in this paper. We have designed a special scene graph tree comprised of some special nodes, namely EMO nodes. According to the location of real moving object, different EMO node will be activated in real-time, consequently realizing the multilayer occlusion. Differing qualitatively from previous work in AR occlusion, our algorithm realizes multilayer occlusion, and its application domain involves indoor-field occluded objects, which are several meters distant from the viewer. Previous related work has focused on monolayer occlusion, and near-field occluded objects, which are within or just beyond arm s reach. In addition, BP neural network is improved to correct the nonlinear error of magnetic sensor, consequently to detect occlusion more effectively. Experimental results are provided to demonstrate the multilayer indoor-field occlusion.
    BibTeX
    @inproceedings {LocalChapterEvents:TPCG:TPCG06:099-104,
    booktitle = {Theory and Practice of Computer Graphics 2006},
    editor = {Louise M. Lever and Mary McDerby},
    title = {{Augmented Reality with Multilayer Occlusion}},
    author = {Feng, Yan and Chen, Yimin},
    year = {2006},
    publisher = {The Eurographics Association},
    ISBN = {3-905673-59-2},
    DOI = {10.2312/LocalChapterEvents/TPCG/TPCG06/099-104}
    }
    URI
    http://dx.doi.org/10.2312/LocalChapterEvents/TPCG/TPCG06/099-104
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