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27 January 2010Automatic portion estimation and visual refinement in mobile dietary
As concern for obesity grows, the need for automated and accurate methods to monitor nutrient intake becomes essential as
dietary intake provides a valuable basis for managing dietary imbalance. Moreover, as mobile devices with built-in cameras
have become ubiquitous, one potential means of monitoring dietary intake is photographing meals using mobile devices
and having an automatic estimate of the nutrient contents returned. One of the challenging problems of the image-based
dietary assessment is the accurate estimation of food portion size from a photograph taken with a mobile digital camera.
In this work, we describe a method to automatically calculate portion size of a variety of foods through volume estimation
using an image. These "portion volumes" utilize camera parameter estimation and model reconstruction to determine the
volume of food items, from which nutritional content is then extrapolated. In this paper, we describe our initial results of
accuracy evaluation using real and simulated meal images and demonstrate the potential of our approach.
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Insoo Woo, Karl Otsmo, SungYe Kim, David S. Ebert, Edward J. Delp, Carol J. Boushey, "Automatic portion estimation and visual refinement in mobile dietary assessment," Proc. SPIE 7533, Computational Imaging VIII, 75330O (27 January 2010);