  High calorie intake in the human body on the one hand, has proved harmful in
numerous occasions leading to several diseases and on the other hand, a
standard amount of calorie intake has been deemed essential by dieticians to
maintain the right balance of calorie content in human body. As such,
researchers have proposed a variety of automatic tools and systems to assist
users measure their calorie in-take. In this paper, we consider the category of
those tools that use image processing to recognize the food, and we propose a
method for fully automatic and user-friendly calibration of the dimension of
the food portion sizes, which is needed in order to measure food portion weight
and its ensuing amount of calories. Experimental results show that our method,
which uses deep learning, mobile cloud computing, distance estimation and size
calibration inside a mobile device, leads to an accuracy improvement to 95% on
average compared to previous work
