Food Item Recognition and Intake Measurement Techniques

Abstract

High-calorie intake can be harmful and result in numerous diseases. Standard intake of a number of calories is fundamental for keeping the right balance of calories in the human body. Currently, some techniques allow users to estimate the calorie count of their food. The latest applications developed to solve under description topic enabled the user to identify calorie part of a food item by taking its photograph. The photograph then passes some pre-processing steps, and after successful segmentation, many physical features are examined such as shape and size etc. Also, dimensions of the food object are determined. The concluding step is then recognition along with calorie estimation. In this paper, different calorie estimation techniques are reviewed. Every method has negative and positive features as well. We also throw light on the deficits of these techniques and some ideas to improve those deficits. The main aim of this review paper is to do a critical analysis of recent studies on accurate calorie estimation and food item recognition. We contribute to building a system that provides tools to monitor calorie intake by estimating calories based on food item recognition and accurate volume calculation.