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Vision-based food nutrition estimation via RGB-D fusion network

文献类型：期刊论文

作者Shao, Wenjing3; Min, Weiqing1,2; Hou, Sujuan3; Luo, Mengjiang1,2; Li, Tianhao1,2; Zheng, Yuanjie3; Jiang, Shuqiang1,2
刊名FOOD CHEMISTRY
出版日期2023-10-30
卷号424页码:10
ISSN号0308-8146
关键词Food nutrient Nutrition estimation Food composition Deep learning RGB-D fusion
DOI10.1016/j.foodchem.2023.136309
英文摘要With the development of deep learning technology, vision-based food nutrition estimation is gradually entering the public view for its advantage in accuracy and efficiency. In this paper, we designed one RGB-D fusion network, which integrated multimodal feature fusion (MMFF) and multi-scale fusion for visioin-based nutrition assessment. MMFF performed effective feature fusion by a balanced feature pyramid and convolutional block attention module. Multi-scale fusion fused different resolution features through feature pyramid network. Both enhanced feature representation to improve the performance of the model. Compared with state-of-the-art methods, the mean value of the percentage mean absolute error (PMAE) for our method reached 18.5%. The PMAE of calories and mass reached 15.0% and 10.8% via the RGB-D fusion network, improved by 3.8% and 8.1%, respectively. Furthermore, this study visualized the estimation results of four nutrients and verified the validity of the method. This research contributed to the development of automated food nutrient analysis (Code and models can be found at http://123.57.42.89/codes/RGB-DNet/nutrition.html).
资助项目National Nature Science Foundation of China[62072289] ; National Nature Science Foundation of China[61972378] ; National Nature Science Foundation of China[U19B2040] ; National Nature Science Foundation of China[62125207] ; CAAI-Huawei MindSpore Open Fund
WOS研究方向Chemistry ; Food Science & Technology ; Nutrition & Dietetics
语种英语
出版者ELSEVIER SCI LTD
WOS记录号WOS:001002350200001
源URL[http://119.78.100.204/handle/2XEOYT63/21469]  
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Min, Weiqing; Hou, Sujuan
作者单位1.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
2.Chinese Acad Sci, Inst Comp Technol, Key Lab Intelligent Informat Proc, Beijing 100190, Peoples R China
3.Shandong Normal Univ, Sch Informat Sci & Engn, Jinan 250358, Shandong, Peoples R China
推荐引用方式
GB/T 7714		 Shao, Wenjing,Min, Weiqing,Hou, Sujuan,et al. Vision-based food nutrition estimation via RGB-D fusion network[J]. FOOD CHEMISTRY,2023,424:10.
APA Shao, Wenjing.,Min, Weiqing.,Hou, Sujuan.,Luo, Mengjiang.,Li, Tianhao.,...&Jiang, Shuqiang.(2023).Vision-based food nutrition estimation via RGB-D fusion network.FOOD CHEMISTRY,424,10.
MLA Shao, Wenjing,et al."Vision-based food nutrition estimation via RGB-D fusion network".FOOD CHEMISTRY 424(2023):10.

入库方式： OAI收割

来源：计算技术研究所

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