Monitoring dietary intake is a crucial aspect of promoting healthy living. In
recent years, advances in computer vision technology have facilitated dietary
intake monitoring through the use of images and depth cameras. However, the
current state-of-the-art image-based food portion estimation algorithms assume
that users take images of their meals one or two times, which can be
inconvenient and fail to capture food items that are not visible from a
top-down perspective, such as ingredients submerged in a stew. To address these
limitations, we introduce an innovative solution that utilizes stationary
user-facing cameras to track food items on utensils, not requiring any change
of camera perspective after installation. The shallow depth of utensils
provides a more favorable angle for capturing food items, and tracking them on
the utensil's surface offers a significantly more accurate estimation of
dietary intake without the need for post-meal image capture. The system is
reliable for estimation of nutritional content of liquid-solid heterogeneous
mixtures such as soups and stews. Through a series of experiments, we
demonstrate the exceptional potential of our method as a non-invasive,
user-friendly, and highly accurate dietary intake monitoring tool.

利用用户面向的相机跟踪餐具上的食物项目来估计膳食摄入量，无需改变拍摄角度，可作为非侵入性、用户友好且高度准确的膳食摄入监测工具。