NDLI: Food volume computation for self dietary assessment applications

Content Provider	IEEE Xplore Digital Library
Author	Dehais, J. Shevchik, S. Diem, P. Mougiakakou, S.G.
Copyright Year	2013
Description	Author affiliation: ARTORG Center for Biomed. Eng. Res., Univ. of Bern, Bern, Switzerland (Dehais, J.; Shevchik, S.; Mougiakakou, S.G.) \|\| Dept. of Endocrinology, Diabetes & Clinical Nutrition, Bern Univ. Hosp., Bern, Switzerland (Diem, P.)
Abstract	There is great demand for easily-accessible, user-friendly dietary self-management applications. Yet accurate, fully-automatic estimation of nutritional intake using computer vision methods remains an open research problem. One key element of this problem is the volume estimation, which can be computed from 3D models obtained using multi-view geometry. The paper presents a computational system for volume estimation based on the processing of two meal images. A 3D model of the served meal is reconstructed using the acquired images and the volume is computed from the shape. The algorithm was tested on food models (dummy foods) with known volume and on real served food. Volume accuracy was in the order of 90 %, while the total execution time was below 15 seconds per image pair. The proposed system combines simple and computational affordable methods for 3D reconstruction, remained stable throughout the experiments, operates in near real time, and places minimum constraints on users.
Sponsorship	IEEE Comput. Soc.
Starting Page	1
Ending Page	4
File Size	4618309
Page Count	4
File Format	PDF
ISBN	9781479931637
DOI	10.1109/BIBE.2013.6701615
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-11-10
Publisher Place	Greece
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Three-dimensional displays Shape Volume measurement Solid modeling Geometry Computational modeling Image reconstruction
Content Type	Text
Resource Type	Article

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