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Proceedings Paper

Food image analysis for measuring food intake in free living conditions
Author(s): Robert Dibiano; Bahadir K. Gunturk; Corby K. Martin
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Paper Abstract

Measuring the type and amount of food intake of free-living (outside controlled clinical research centers) people is an important task in nutrition research. One practical method, called the Remote Food Photography Method (RFPM),1 is to provide camera-equipped smartphones to participants, who are trained to take pictures of their foods and send these pictures to the researchers over a wireless network. These pictures can then be analyzed by trained raters to accurately estimate food intake, though the process can be labor intensive. In this paper, we describe a computer vision application to estimate food intake from the pictures captured and sent by participants. We describe the application in detail, including segmentation, pattern classification, volume estimation modules, and provide comprehensive experimental results to evaluate its performance.

Paper Details

Date Published: 13 March 2013
PDF: 10 pages
Proc. SPIE 8669, Medical Imaging 2013: Image Processing, 86693N (13 March 2013); doi: 10.1117/12.2006871
Show Author Affiliations
Robert Dibiano, Louisiana State Univ. (United States)
Bahadir K. Gunturk, Louisiana State Univ. (United States)
Corby K. Martin, Pennington Biomedical Research Ctr. (United States)

Published in SPIE Proceedings Vol. 8669:
Medical Imaging 2013: Image Processing
Sebastien Ourselin; David R. Haynor, Editor(s)

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