Image-based food volume estimation
In this paper, we propose an extension to our previous work on food portion size estimation using a single image and a multi-view volume estimation method. The single-view technique estimates food volume by using prior information (segmentation and food labels) generated from food identification met...
| Main Authors: | , , , , , |
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| Format: | Conference Paper |
| Published: |
Association for Computing Machinery
2013
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| Online Access: | http://hdl.handle.net/20.500.11937/50009 |
| _version_ | 1848758372067704832 |
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| author | Xu, C. He, Y. Parra, A. Delp, E. Khanna, N. Boushey, Carol |
| author_facet | Xu, C. He, Y. Parra, A. Delp, E. Khanna, N. Boushey, Carol |
| author_sort | Xu, C. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | In this paper, we propose an extension to our previous work on food portion size estimation using a single image and a multi-view volume estimation method. The single-view technique estimates food volume by using prior information (segmentation and food labels) generated from food identification methods we described earlier. For multi-view volume estimation, we use "Shape from Silhouettes" to estimate the food portion size. The experimental results of our volume estimation methods demonstrate our results with respect to accuracy and reliability. © Copyright 2013 ACM. |
| first_indexed | 2025-11-14T09:42:56Z |
| format | Conference Paper |
| id | curtin-20.500.11937-50009 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T09:42:56Z |
| publishDate | 2013 |
| publisher | Association for Computing Machinery |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-500092018-03-29T09:07:08Z Image-based food volume estimation Xu, C. He, Y. Parra, A. Delp, E. Khanna, N. Boushey, Carol In this paper, we propose an extension to our previous work on food portion size estimation using a single image and a multi-view volume estimation method. The single-view technique estimates food volume by using prior information (segmentation and food labels) generated from food identification methods we described earlier. For multi-view volume estimation, we use "Shape from Silhouettes" to estimate the food portion size. The experimental results of our volume estimation methods demonstrate our results with respect to accuracy and reliability. © Copyright 2013 ACM. 2013 Conference Paper http://hdl.handle.net/20.500.11937/50009 10.1145/2506023.2506037 Association for Computing Machinery restricted |
| spellingShingle | Xu, C. He, Y. Parra, A. Delp, E. Khanna, N. Boushey, Carol Image-based food volume estimation |
| title | Image-based food volume estimation |
| title_full | Image-based food volume estimation |
| title_fullStr | Image-based food volume estimation |
| title_full_unstemmed | Image-based food volume estimation |
| title_short | Image-based food volume estimation |
| title_sort | image-based food volume estimation |
| url | http://hdl.handle.net/20.500.11937/50009 |