文献类型：期刊文献

英文题名：Deep learning-based food calorie estimation method in dietary assessment

作者：Liang, Yanchao[1]; Li, Jianhua[1]

机构：[1] School of Information Science and Engineering, East China University of Science and Technology

年份：2017

外文期刊名：arXiv

收录：EI(收录号：20200461912)

语种：英文

外文关键词：Deep learning - Patient treatment

摘要：Obesity treatment requires obese patients to record all food intakes per day. Computer vision has been applied to estimate calories from food images. In order to increase detection accuracy and reduce the error of volume estimation in food calorie estimation, we present our calorie estimation method in this paper. To estimate calorie of food, a top view and side view are needed. Faster R-CNN is used to detect each food and calibration object. GrabCut algorithm is used to get each food's contour. Then each food's volume is estimated by volume estimation formulas. Finally we estimate each food's calorie. And the experiment results show our estimation method is effective. Copyright ? 2017, The Authors. All rights reserved.