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    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/69580


    Title: The reconstruction of dynamic 3D structure of biological objects using stereo microscope images
    Authors: 廖文宏
    Liao,Wen-Hung;S. J. Aggarwal;J. K. Aggarwal
    Contributors: 資科系
    Keywords: Quantitative microscopy;Biomedical image processing;3D structure reconstruction;Non-rigid motion;Cooperative feature matching
    Date: 1997-02
    Issue Date: 2014-09-02 17:19:16 (UTC+8)
    Abstract: In this paper, we address the analysis of 3D shape and shape change in non-rigid biological objects imaged via a stereo light microscope. We propose an integrated approach for the reconstruction of 3D structure and the motion analysis for images in which only a few informative features are available. The key components of this framework are: 1) image registration using a correlation-based approach, 2) region-of-interest extraction using motion-based segmentation, and 3) stereo and motion analysis using a cooperative spatial and temporal matching process. We describe these three stages of processing and illustrate the efficacy of the proposed approach using real images of a live frog`s ventricle. The reconstructed dynamic 3D structure of the ventricle is demonstrated in our experimental results, and it agrees qualitatively with the observed images of the ventricle.
    Relation: Machine Vision and Applications,9(4),166-178
    Data Type: article
    DOI link: http://dx.doi.org/10.1007/s001380050038
    DOI: 10.1007/s001380050038
    Appears in Collections:[Department of Computer Science ] Periodical Articles

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