Food volume estimation in a mobile phone based dietary assessment system
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 be...
| Main Authors: | , , , , , , |
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| Other Authors: | |
| Format: | Conference Paper |
| Published: |
Conference Publishing Services
2012
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| Online Access: | http://hdl.handle.net/20.500.11937/23109 |
| _version_ | 1848751058519588864 |
|---|---|
| author | Rahman, M. Li, Q. Pickering, M. Frater, M. Kerr, Deborah Bouchey, C. Delp, E. |
| author2 | Kokou Yetongnon |
| author_facet | Kokou Yetongnon Rahman, M. Li, Q. Pickering, M. Frater, M. Kerr, Deborah Bouchey, C. Delp, E. |
| author_sort | Rahman, M. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T07:46:41Z |
| format | Conference Paper |
| id | curtin-20.500.11937-23109 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T07:46:41Z |
| publishDate | 2012 |
| publisher | Conference Publishing Services |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-231092023-02-02T07:57:40Z Food volume estimation in a mobile phone based dietary assessment system Rahman, M. Li, Q. Pickering, M. Frater, M. Kerr, Deborah Bouchey, C. Delp, E. Kokou Yetongnon Richard Chbeir Albert Dipanda 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. 2012 Conference Paper http://hdl.handle.net/20.500.11937/23109 10.1109/SITIS.2012.146 Conference Publishing Services fulltext |
| spellingShingle | Rahman, M. Li, Q. Pickering, M. Frater, M. Kerr, Deborah Bouchey, C. Delp, E. Food volume estimation in a mobile phone based dietary assessment system |
| title | Food volume estimation in a mobile phone based dietary assessment system |
| title_full | Food volume estimation in a mobile phone based dietary assessment system |
| title_fullStr | Food volume estimation in a mobile phone based dietary assessment system |
| title_full_unstemmed | Food volume estimation in a mobile phone based dietary assessment system |
| title_short | Food volume estimation in a mobile phone based dietary assessment system |
| title_sort | food volume estimation in a mobile phone based dietary assessment system |
| url | http://hdl.handle.net/20.500.11937/23109 |