Amount Estimation Method for Food Intake Based on Color and Depth Images through Deep Learning
Amount Estimation Method for Food Intake Based on Color and Depth Images through Deep Learning
About this item
Full title
Author / Creator
Publisher
Switzerland: MDPI AG
Journal title
Language
English
Formats
Publication information
Publisher
Switzerland: MDPI AG
Subjects
More information
Scope and Contents
Contents
In this paper, we propose an amount estimation method for food intake based on both color and depth images. Two pairs of color and depth images are captured pre- and post-meals. The pre- and post-meal color images are employed to detect food types and food existence regions using Mask R-CNN. The post-meal color image is spatially transformed to mat...
Alternative Titles
Full title
Amount Estimation Method for Food Intake Based on Color and Depth Images through Deep Learning
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_c57d0dcbfdc2499296025753d763cf28
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_c57d0dcbfdc2499296025753d763cf28
Other Identifiers
ISSN
1424-8220
E-ISSN
1424-8220
DOI
10.3390/s24072044
