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International Conference on Multimedia Modeling

MMM 2018: MultiMedia Modeling pp 381–385Cite as

Multi-camera Microenvironment to Capture Multi-view Time-Lapse Videos for 3D Analysis of Aging Objects

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10705))

Abstract

We present a microenvironment of multiple cameras to capture multi-viewpoint time-lapse videos of objects showing spatiotemporal phenomena such as aging. Our microenvironment consists of four synchronized Raspberry Pi v2 cameras triggered by four corresponding Raspberry Pi v3 computers that are controlled by a central computer. We provide a graphical user interface for users to trigger captures and visualize multiple viewpoint videos. We show multiple viewpoint captures for objects such as fruit that depict shape changes due to water volume loss and appearance changes due to enzymatic browning.

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Acknowledgements

This work was partially supported by the National Science Foundation (NSF) grant #1730183.

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Authors and Affiliations

  1. Clarkson University, Potsdam, NY, 13699, USA

    Lintao Guo, Hunter Quant, Nikolas Lamb, Benjamin Lowit, Natasha Kholgade Banerjee & Sean Banerjee

Authors
  1. Lintao Guo
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  2. Hunter Quant
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  3. Nikolas Lamb
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  4. Benjamin Lowit
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  5. Natasha Kholgade Banerjee
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  6. Sean Banerjee
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Corresponding author

Correspondence to Sean Banerjee .

Editor information

Editors and Affiliations

  1. Alpen-Adria-Universität Klagenfurt, Klagenfurt, Austria

    Klaus Schoeffmann

  2. Chulalongkorn University, Bangkok, Thailand

    Thanarat H. Chalidabhongse

  3. City University of Hong Kong, Hong Kong, China

    Chong Wah Ngo

  4. Chulalongkorn University, Bangkok, Thailand

    Supavadee Aramvith

  5. Dublin City University, Dublin, Ireland

    Noel E. O’Connor

  6. Gwangju Institute of Science and Technology, Gwangju, Korea (Republic of)

    Yo-Sung Ho

  7. Tampere University of Technology, Tampere, Finland

    Moncef Gabbouj

  8. Rutgers University, Piscataway, New Jersey, USA

    Ahmed Elgammal

1 Electronic supplementary material

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Supplementary material 1 (mp4 37196 KB)

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Cite this paper

Guo, L., Quant, H., Lamb, N., Lowit, B., Banerjee, N.K., Banerjee, S. (2018). Multi-camera Microenvironment to Capture Multi-view Time-Lapse Videos for 3D Analysis of Aging Objects. In: Schoeffmann, K., et al. MultiMedia Modeling. MMM 2018. Lecture Notes in Computer Science(), vol 10705. Springer, Cham. https://doi.org/10.1007/978-3-319-73600-6_37

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  • DOI: https://doi.org/10.1007/978-3-319-73600-6_37

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-73599-3

  • Online ISBN: 978-3-319-73600-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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