Image-Based Food Volume Estimation.

Xu Chang, He Ye, Parra Albert, Delp Edward, Khanna Nitin, Boushey Carol
{"title":"Image-Based Food Volume Estimation.","authors":"Xu Chang, He Ye, Parra Albert, Delp Edward, Khanna Nitin, Boushey Carol","doi":"10.1145/2506023.2506037","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":91851,"journal":{"name":"CEA'13 : proceedings of the 5th International Workshop on Multimedia for Cooking & Eating Activities : October 21, 2013, Barcelona, Spain. Workshop on Multimedia for Cooking and Eating Activities (5th : 2013 : Barcelona, Spain)","volume":"2013 ","pages":"75-80"},"PeriodicalIF":0.0000,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5448987/pdf/nihms823612.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"CEA'13 : proceedings of the 5th International Workshop on Multimedia for Cooking & Eating Activities : October 21, 2013, Barcelona, Spain. Workshop on Multimedia for Cooking and Eating Activities (5th : 2013 : Barcelona, Spain)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2506023.2506037","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

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.

Abstract Image

Abstract Image

Abstract Image

基于图像的食物体积估算。
在本文中,我们提出了使用单幅图像和多视角体积估算方法估算食物份量的扩展方案。单视角技术通过使用我们前面介绍的食物识别方法生成的先验信息(分割和食物标签)来估算食物体积。在多视角体积估算中,我们使用 "从轮廓看形状 "来估算食物的分量。我们的体积估算方法的实验结果证明了我们在准确性和可靠性方面的成果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信