As obesity concerns mount, dietary assessment methods for prevention and intervention are being developed. These
methods include recording, cataloging and analyzing daily dietary records to monitor energy and nutrient intakes. Given
the ubiquity of mobile devices with built-in cameras, one possible means of improving dietary assessment is through
photographing foods and inputting these images into a system that can determine the nutrient content of foods in the images.
One of the critical issues in such the image-based dietary assessment tool is the accurate and consistent estimation of food
portion sizes. The objective of our study is to automatically estimate food volumes through the use of food specific shape
templates. In our system, users capture food images using a mobile phone camera. Based on information (i.e., food name
and code) determined through food segmentation and classification of the food images, our system choose a particular food
template shape corresponding to each segmented food. Finally, our system reconstructs the three-dimensional properties
of the food shape from a single image by extracting feature points in order to size the food shape template. By employing
this template-based approach, our system automatically estimates food portion size, providing a consistent method for
estimation food volume.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.