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Open AccessArticle

A Novel Mobile Structured Light System in Food 3D Reconstruction and Volume Estimation

1
Sensors, Energy, and Automation Laboratory (SEAL), Department of Electrical and Computer Engineering University of Washington, Seattle, WA 98109, USA
2
Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
*
Author to whom correspondence should be addressed.
Sensors 2019, 19(3), 564; https://doi.org/10.3390/s19030564
Received: 20 December 2018 / Revised: 16 January 2019 / Accepted: 28 January 2019 / Published: 29 January 2019
(This article belongs to the Special Issue Depth Sensors and 3D Vision)
Over the past ten years, diabetes has rapidly become more prevalent in all age demographics and especially in children. Improved dietary assessment techniques are necessary for epidemiological studies that investigate the relationship between diet and disease. Current nutritional research is hindered by the low accuracy of traditional dietary intake estimation methods used for portion size assessment. This paper presents the development and validation of a novel instrumentation system for measuring accurate dietary intake for diabetic patients. This instrument uses a mobile Structured Light System (SLS), which measures the food volume and portion size of a patient’s diet in daily living conditions. The SLS allows for the accurate determination of the volume and portion size of a scanned food item. Once the volume of a food item is calculated, the nutritional content of the item can be estimated using existing nutritional databases. The system design includes a volume estimation algorithm and a hardware add-on that consists of a laser module and a diffraction lens. The experimental results demonstrate an improvement of around 40% in the accuracy of the volume or portion size measurement when compared to manual calculation. The limitations and shortcomings of the system are discussed in this manuscript. View Full-Text
Keywords: depth measurement; dietary measurement; 3d reconstruction; image segmentation; mobile structured light system; volume measurement depth measurement; dietary measurement; 3d reconstruction; image segmentation; mobile structured light system; volume measurement
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MDPI and ACS Style

Makhsous, S.; Mohammad, H.M.; Schenk, J.M.; Mamishev, A.V.; Kristal, A.R. A Novel Mobile Structured Light System in Food 3D Reconstruction and Volume Estimation. Sensors 2019, 19, 564.

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