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dc.contributor.authorXu, C.
dc.contributor.authorHe, Y.
dc.contributor.authorParra, A.
dc.contributor.authorDelp, E.
dc.contributor.authorKhanna, N.
dc.contributor.authorBoushey, Carol
dc.date.accessioned2017-03-15T22:17:06Z
dc.date.available2017-03-15T22:17:06Z
dc.date.created2017-02-26T19:31:37Z
dc.date.issued2013
dc.identifier.citationXu, C. and He, Y. and Parra, A. and Delp, E. and Khanna, N. and Boushey, C. 2013. Image-based food volume estimation, in Proceedings of the 5th International Workshop on Multimedia for Cooking & Eating Activities, Oct 21-25 2013, pp. 75-80. Barcelona, Spain: Association for Computing Machinery (ACM).
dc.identifier.urihttp://hdl.handle.net/20.500.11937/50009
dc.identifier.doi10.1145/2506023.2506037
dc.description.abstract

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.

dc.publisherAssociation for Computing Machinery
dc.titleImage-based food volume estimation
dc.typeConference Paper
dcterms.source.startPage75
dcterms.source.endPage80
dcterms.source.titleCEA 2013 - Proceedings of the 5th International Workshop on Multimedia for Cooking and Eating Activities
dcterms.source.seriesCEA 2013 - Proceedings of the 5th International Workshop on Multimedia for Cooking and Eating Activities
dcterms.source.isbn9781450323925
curtin.departmentSchool of Public Health
curtin.accessStatusFulltext not available


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