An Integrated System for Mobile Image-Based Dietary Assessment

no code implementations • 5 Oct 2021 • Zeman Shao, Yue Han, Jiangpeng He, Runyu Mao, Janine Wright, Deborah Kerr, Carol Boushey, Fengqing Zhu

Accurate assessment of dietary intake requires improved tools to overcome limitations of current methods including user burden and measurement error.

Nutrition

Towards Learning Food Portion From Monocular Images With Cross-Domain Feature Adaptation

no code implementations • 12 Mar 2021 • Zeman Shao, Shaobo Fang, Runyu Mao, Jiangpeng He, Janine Wright, Deborah Kerr, Carol Jo Boushey, Fengqing Zhu

We aim to estimate food portion size, a property that is strongly related to the presence of food object in 3D space, from single monocular images under real life setting.

Image Segmentation Management +4

Multi-Task Image-Based Dietary Assessment for Food Recognition and Portion Size Estimation

no code implementations • 27 Apr 2020 • Jiangpeng He, Zeman Shao, Janine Wright, Deborah Kerr, Carol Boushey, Fengqing Zhu

Deep learning based methods have achieved impressive results in many applications for image-based diet assessment such as food classification and food portion size estimation.

Classification Food Recognition +3