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    Food volume estimation in a mobile phone based dietary assessment system

    189730_189730.pdf (3.203Mb)
    Access Status
    Open access
    Authors
    Rahman, M.
    Li, Q.
    Pickering, M.
    Frater, M.
    Kerr, Deborah
    Bouchey, C.
    Delp, E.
    Date
    2012
    Type
    Conference Paper
    
    Metadata
    Show full item record
    Citation
    Rahman, M.H. and Li, Q. and Pickering, M.R. and Frater, M.R. and Kerr, D.A. and Bouchey, C.J. and Delp, E.J. 2012. Food volume estimation in a mobile phone based dietary assessment system, in Yetongnon, K., Chbeir, R., Dipanda, A. (ed), Signal Image Technology and Internet Based Systems SITIS, 2012 8th International Conference on Signal Image Technology and Internet Based Systems, Nov 25-29 2012, pp. 988-995. Naples, Italy: Signal Image Technology and Internet Based Systems.
    Source Title
    CPS Conference Publishing Service
    Source Conference
    The 8th International Conference on Signal Image Technology & Internet Based Systems SITIS 2012
    DOI
    10.1109/SITIS.2012.146
    ISBN
    978-0-7695-4911-8
    Remarks

    Copyright © 2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

    URI
    http://hdl.handle.net/20.500.11937/23109
    Collection
    • Curtin Research Publications
    Abstract

    There is now convincing evidence that poor diet, in combination with physical inactivity are key determinants of an individual's risk of developing chronic diseases, such as obesity, cancer, cardiovascular disease or diabetes. Assessing what people eat is fundamental to establishing the link between diet and disease. Food records are considered the best approach for assessing energy intake. However, this method requires literate and highly motivated subjects and adolescents and young adults are the least likely to undertake food records. The ready access of the majority of the population to mobile phones has opened up new opportunities for dietary assessment. In such systems, the camera in the mobile phone is used for capturing images of food consumed and these images are then processed to automatically estimate the nutritional content of the food. A vital step in this process is the estimation of the volume of the food in the image. In this paper we propose a food volume estimation approach which requires only a pair of stereo images to be captured. Our experimental results show that the proposed approach can provide an accurate estimate of the volume of typical food items in a passive manner without the need for manual fitting of 3D models to the food items.

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