Curtin University Homepage
  • Library
  • Help
    • Admin

    espace - Curtin’s institutional repository

    JavaScript is disabled for your browser. Some features of this site may not work without it.
    View Item 
    • espace Home
    • espace
    • Curtin Research Publications
    • View Item
    • espace Home
    • espace
    • Curtin Research Publications
    • View Item

    A comparison of food portion size estimation using geometric models and depth images

    Access Status
    Fulltext not available
    Authors
    Fang, S.
    Zhu, F.
    Jiang, C.
    Zhang, S.
    Boushey, Carol
    Delp, E.
    Date
    2016
    Type
    Conference Paper
    
    Metadata
    Show full item record
    Citation
    Fang, S. and Zhu, F. and Jiang, C. and Zhang, S. and Boushey, C. and Delp, E. 2016. A comparison of food portion size estimation using geometric models and depth images, in proceedings of the International Conference on Image Processing (ICIP), Sep 25-28 2016, pp. 26-30. Phoenix, AZ, USA: IEEE.
    Source Title
    Proceedings - International Conference on Image Processing, ICIP
    DOI
    10.1109/ICIP.2016.7532312
    ISBN
    9781467399616
    School
    School of Public Health
    URI
    http://hdl.handle.net/20.500.11937/51080
    Collection
    • Curtin Research Publications
    Abstract

    Six of the ten leading causes of death in the United States, including cancer, diabetes, and heart disease, can be directly linked to diet. Dietary intake, the process of determining what someone eats during the course of a day, provides valuable insights for mounting intervention programs for prevention of many of the above chronic diseases. Measuring accurate dietary intake is considered to be an open research problem in the nutrition and health fields. In this paper we compare two techniques of estimating food portion size from images of food. The techniques are based on 3D geometric models and depth images. An expectation-maximization based technique is developed to detect the reference plane in depth images, which is essential for portion size estimation using depth images. Our experimental results indicate that volume estimation based on geometric models is more accurate for objects with well-defined 3D shapes compared to estimation using depth images.

    Related items

    Showing items related by title, author, creator and subject.

    • Techniques for improved 2-D Kirchhoff prestack depth imaging
      Manuel, Christopher D. (2002)
      The goal of oil and gas exploration using seismic methods is to accurately locate geological structures that could host such reserves. As the search for these resources tends towards more complex regions, it is necessary ...
    • Semi-automated registration with direct linear transformation and quality evaluation of digital photogrammetry and terrestrial laser scanning
      Lim, Kwanthar (2012)
      Photogrammetry and Laser Scanning can be used to complement one another, during instances where digital images are taken of the object of interest with the intention to merge the 3D data and image in order to reconstruct ...
    • A data processing workflow for borehole enlargement identification and characterisation using petrophysical logs
      Soroush, Hamed (2009)
      Borehole breakouts provide valuable information with respect to the evaluation of the in-situ stress direction and magnitude, and also verification of any geomechanical models built for a specific field. Identifying the ...
    Advanced search

    Browse

    Communities & CollectionsIssue DateAuthorTitleSubjectDocument TypeThis CollectionIssue DateAuthorTitleSubjectDocument Type

    My Account

    Admin

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    Follow Curtin

    • 
    • 
    • 
    • 
    • 

    CRICOS Provider Code: 00301JABN: 99 143 842 569TEQSA: PRV12158

    Copyright | Disclaimer | Privacy statement | Accessibility

    Curtin would like to pay respect to the Aboriginal and Torres Strait Islander members of our community by acknowledging the traditional owners of the land on which the Perth campus is located, the Whadjuk people of the Nyungar Nation; and on our Kalgoorlie campus, the Wongutha people of the North-Eastern Goldfields.