Volume estimation using food specific shape templates in mobile image-based dietary assessment

Junghoon Chae, Insoo Woo, Sung Ye Kim, Ross Maciejewski, Fengging Zhu, Edward J. Delp, Carol J. Boushey, David S. Ebert

Research output: Chapter in Book/Report/Conference proceedingConference contribution

59 Scopus citations


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.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE-IS and T Electronic Imaging - Computational Imaging IX
StatePublished - 2011
Externally publishedYes
EventComputational Imaging IX - San Francisco, CA, United States
Duration: Jan 24 2011Jan 25 2011

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
ISSN (Print)0277-786X


OtherComputational Imaging IX
Country/TerritoryUnited States
CitySan Francisco, CA


  • Dietary assessment
  • Food volume estimation
  • Mobile image
  • Shape templates

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


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