Contents Science Lab

Project: Food typicality analysis

In this research, we analyze a method to analyze the typicality of a food within its food category based on its appearance for supporting cooking recipe search.

A typical food is a food which shares common features of a food category such as ingredients and cooking methods. The appearance of a food is one of the important factors to analyze typicality, since it is affected by its ingredients and cooking methods. Therefore, in this research, we analyze the typicality of a food by referring to the appearance of a large number of food photos assuming that most of them are typical ones.

Under the assumption, our method first extracts image features from food photos, and then builds a subspace for each food category. Given a food photo, the method calculates the typicality of its appearance by projecting it on to the corresponding subspace.

Main project members

Masamu Nakamura

Finished Master in AY2019

Dr. Keisuke Doman

Invited Professor (Chukyo University)

Recent publications