3D shape reconstruction endoscope using shape from focus

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

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

    5 Citations (Scopus)

    Abstract

    In this paper, we propose three-dimensional (3-D) shape reconstruction endoscope using shape from focus/defocus (SFF/SFD). 3-D shape measurement that uses the endoscope image sequence can measure both the shape and the texture at the same time. It has some advantages such as the analysis of lesion location that integrates the analysis of shape and texture. And the shape and the texture from the endoscope can be recorded quantitatively. To obtain 3-D information, shape measurement methods using stereo cameras is often used. But in case of narrow space, 3-D reconstruction using focus information such as SFF/SFD is more appropriate in terms of apparatus size. Therefore, we apply SFF method to endoscope for shape reconstruction, and conducted two basic experiments to confirm the possibility of the system using general camera as a first step. First, to estimate the accuracy of shape measurement of the system, shape measurement of the objects that the shape is already-known was conducted. And the error of the system was calculated about 1 to 5 mm. Next, to confirm the possibility to measure biological inner wall, the measurement of inner wall of the pig stomach was conducted, and the shape was reconstructed.

    Original languageEnglish
    Title of host publicationVISAPP 2009 - Proceedings of the 4th International Conference on Computer Vision Theory and Applications
    Pages411-416
    Number of pages6
    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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