Multi-layered contents generation from real world scene by three-dimensional measurement

M. K. Kim, Y. Nakajima, T. Takeshita, S. Onogi, M. Mitsuishi, Y. Matsumoto

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

    1 Citation (Scopus)

    Abstract

    In this paper, we propose a method to create automatically multi-layered contents from real world scene based on Depth from Focus and Spatio-Temporal Image Analysis. Since the contents are generated by layer representation directly from real world, the change of point of view is able to freely and it reduces the labor and cost of creating three-dimensional (3-D) contents using Computer Graphics. To extraction layer in the real images, Depth from Focus is used in case of stationary objects and Spatio-Temporal Image Analysis is used in case of moving objects. We selected above two methods, because of stability of system. Depth from Focus method doesn't need to search correspondence point and Spatio-Temporal Image Analysis has also simple computing algorithm relatively. We performed an experiment to extract layer contents from stationary and moving object automatically and the feasibility of the method was confirmed.

    Original languageEnglish
    Title of host publicationVISAPP 2009 - Proceedings of the 4th International Conference on Computer Vision Theory and Applications
    Pages109-112
    Number of pages4
    Publication statusPublished - Oct 12 2009
    Event4th International Conference on Computer Vision Theory and Applications, VISAPP 2009 - Lisboa, Portugal
    Duration: Feb 5 2009Feb 8 2009

    Publication series

    NameVISAPP 2009 - Proceedings of the 4th International Conference on Computer Vision Theory and Applications
    Volume1

    Other

    Other4th International Conference on Computer Vision Theory and Applications, VISAPP 2009
    CountryPortugal
    CityLisboa
    Period2/5/092/8/09

    All Science Journal Classification (ASJC) codes

    • Computer Science Applications
    • Computer Vision and Pattern Recognition

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