  Obesity treatment requires obese patients to record all food intakes per day.
Computer vision has been introduced to estimate calories from food images. In
order to increase accuracy of detection and reduce the error of volume
estimation in food calorie estimation, we present our calorie estimation method
in this paper. To estimate calorie of food, a top view and side view is needed.
Faster R-CNN is used to detect the food and calibration object. GrabCut
algorithm is used to get each food's contour. Then the volume is estimated with
the food and corresponding object. Finally we estimate each food's calorie. And
the experiment results show our estimation method is effective.
