The reconstruction of dynamic 3D structure of biological objects using stereo microscope images |
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| Authors: | W.-H. Liao S.J. Aggarwal J.K. Aggarwal |
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| Affiliation: | (1) Computer and Vision Research Center, Dept. of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX 78712-1084, USA e-mail: aggarwaljk@mail.utexas.edu, US;(2) Biomedical Engineering Program, The University of Texas at Austin, Austin, TX 78712, USA, US |
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| 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. |
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| Keywords: | :Quantitative microscopy – Biomedical image processing – 3D structure reconstruction – Non-rigid motion – Cooperative feature matching |
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