2-D and 3-D visual media data driven analytics.
The main objective is to utilize digital imaging, artificial intelligence, and computer vision techniques to develop a novel hybrid methodology tailored to accurately predicting food and nutrient content/consumption in uncertainty conditions (varying illumination, mixed food content). To attain this objective, the proposed methodology can be sub categorized into a) food detection/identification and classification, b) three-dimensional (3-D) image reconstruction and volume estimation, and c) food and nutrient estimation Food
Tufts T02295
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