Food Portion Estimation via 3D Object Scaling

arXiv:2404.12257v1 Announce Type: cross
Abstract: Image-based methods to analyze food images have alleviated the user burden and biases associated with traditional methods. However, accurate portion estimation remains a major challenge due to the loss of 3D information in the 2D representation of foods captured by smartphone cameras or wearable devices. In this paper, we propose a new framework to estimate both food volume and energy from 2D images by leveraging the power of 3D food models and physical reference in …

3d object abstract analyze arxiv biases cameras challenge cs.ai cs.cv cs.lg cs.mm devices eess.iv food however image images information loss major object paper representation scaling smartphone type via wearable wearable devices