Multi-view Model Contour Matching Based Food Volume Estimation

被引：0

作者：

Zheng, Xin ^{[1
]}

Gong, Yifei ^{[1
]}

Lei, Qinyi ^{[1
]}

Yao, Run ^{[1
]}

Yin, Qian ^{[1
]}

机构：

[1] Beijing Normal Univ, Image Proc & Pattern Recognit Lab, Beijing, Peoples R China

来源：

ADVANCES IN ARTIFICIAL INTELLIGENCE, SOFTWARE AND SYSTEMS ENGINEERING | 2019年 / 787卷

基金：

中国国家自然科学基金;

关键词：

Food volume estimation; Image segmentation; Contour matching; Image registration; Mobile application;

D O I：

10.1007/978-3-319-94229-2_9

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, an automatic food volume estimation method based on outer contour matching is proposed, which avoids the complicated calculation. We pre-defined a simple 3D model library and stored the projections and the user's hand. Users took three images containing their hands from three views. The contour of segmented image was compared with the projections to find the best match. Meanwhile, we took the user's hand as the scale and calculated the volume. As the method is easy to operate, less space-consuming, it is quite suitable for integrated application in the mobile app.

引用

页码：85 / 93

页数：9