Food image analysis for measuring food intake in free living conditions

Robert Dibiano; Bahadir K. Gunturk; Corby K. Martin

doi:10.1117/12.2006871

13 March 2013 Food image analysis for measuring food intake in free living conditions

Robert Dibiano, Bahadir K. Gunturk, Corby K. Martin

Proceedings Volume 8669, Medical Imaging 2013: Image Processing; 86693N (2013) https://doi.org/10.1117/12.2006871
Event: SPIE Medical Imaging, 2013, Lake Buena Vista (Orlando Area), Florida, United States

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.

Citation Download Citation

Robert Dibiano, Bahadir K. Gunturk, and Corby K. Martin "Food image analysis for measuring food intake in free living conditions", Proc. SPIE 8669, Medical Imaging 2013: Image Processing, 86693N (13 March 2013); https://doi.org/10.1117/12.2006871

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