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

    Single-View Food Portion Estimation Based on Geometric Models

    Access Status
    Fulltext not available
    Authors
    Fang, S.
    Liu, C.
    Zhu, F.
    Delp, E.
    Boushey, Carol
    Date
    2016
    Type
    Conference Paper
    
    Metadata
    Show full item record
    Citation
    Fang, S. and Liu, C. and Zhu, F. and Delp, E. and Boushey, C. 2016. Single-View Food Portion Estimation Based on Geometric Models, in Proceedings of the International Symposium on Multimedia (ISM), Dec 14-16 2015, pp. 385-390. Miami, FL, USA: IEEE.
    Source Title
    Proceedings - 2015 IEEE International Symposium on Multimedia, ISM 2015
    DOI
    10.1109/ISM.2015.67
    ISBN
    9781509003792
    School
    School of Public Health
    URI
    http://hdl.handle.net/20.500.11937/51132
    Collection
    • Curtin Research Publications
    Abstract

    In this paper we present a food portion estimation technique based on a single-view food image used for the estimation of the amount of energy (in kilocalories) consumed at a meal. Unlike previous methods we have developed, the new technique is capable of estimating food portion without manual tuning of parameters. Although single-view 3D scene reconstruction is in general an ill-posed problem, the use of geometric models such as the shape of a container can help to partially recover 3D parameters of food items in the scene. Based on the estimated 3D parameters of each food item and a reference object in the scene, the volume of each food item in the image can be determined. The weight of each food can then be estimated using the density of the food item. We were able to achieve an error of less than 6% for energy estimation of an image of a meal assuming accurate segmentation and food classification.

    Related items

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

    • Model-based food volume estimation using 3D pose
      Xu, C.; He, Y.; Khanna, N.; Boushey, Carol; Delp, E. (2013)
      We are developing a dietary assessment system to automatically identify and quantify foods and beverages consumed by analyzing meal images captured with a mobile device. After food items are segmented and identified, ...
    • Adolescents in the United States can identify familiar foods at the time of consumption and when prompted with an image 14 h postprandial, but poorly estimate portions
      Schap, T.; Six, B.; Delp, E.; Ebert, D.; Kerr, Deborah; Boushey, C. (2011)
      Objective To evaluate adolescents- abilities to identify foods and estimate the portion size of foods consumed in order to inform development of the mobile telephone food record (mpFR).Design Data were collected from two ...
    • Dietary choline and betaine intakes vary in an adult multiethnic population
      Yonemori, K.; Lim, U.; Koga, K.; Wilkens, L.; Au, D.; Boushey, Carol; Le Marchand, L.; Kolonel, L.; Murphy, S. (2013)
      Choline and betaine are important nutrients for human health, but reference food composition databases for these nutrients became available only recently. We tested the feasibility of using these databases to estimate ...
    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.