3D localization of circular feature in 2D image and application to food volume estimation.
A novel method to estimate the 3D location of a circular feature from a 2D image is presented and applied to the problem of objective dietary assessment from images taken by a wearable device. Instead of using a common reference (e.g., a checkerboard card), we use a food container (e.g., a circular plate) as a necessary reference before the volumetric measurement. In this paper, we establish a mathematical model formulating the system involving a camera and a circular object in a 3D space and, based on this model, the food volume is calculated. Our experiments showed that, for 240 pictures of a variety of regular objects and food replicas, the relative error of the image-based volume estimation was less than 10% in 224 pictures.
Department of Neurosurgery, University of Pittsburgh, PA 15260, USA.
Wenyan
W
Jia
Yaofeng
Y
Yue
John D
JD
Fernstrom
Zhengnan
Z
Zhang
Yongquan
Y
Yang
Mingui
M
Sun
D004435:Eating / Q000502:physiology*; D005504:Food Analysis / Q000295:instrumentation*; D006801:Humans; D021621:Imaging, Three-Dimensional / Q000379:methods*; D018670:Monitoring, Ambulatory / Q000379:methods*; D010363:Pattern Recognition, Automated / Q000379:methods*; D010781:Photography / Q000379:methods*