Contents Science Lab

Nagoya University Graduate School of Informatics
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Masamu Nakamura

Finished Master in AY2019

Main projects

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Food typicality analysis

In this research, we analyze the typicality of food images within a food category.

Recent publications

    Typicality evaluation of food-type specific presentation (in Japanese)
    Masamu Nakamura, Yasutomo Kawanishi, Keisuke Doman, Takatsugu Hirayama, Ichiro Ide, Daisuke Deguchi, Hiroshi Murase
    IEICE Tech. Rep. Media Experience and Virtual Environment, MVE2019-70, Online, March 2020.
    Typicality analysis of a food within a food category based on its appearance (in Japanese)
    Masamu Nakamura, Yasutomo Kawanishi, Keisuke Doman, Takatsugu Hirayama, Ichiro Ide, Daisuke Deguchi, Hiroshi Murase
    IEICE SIG Attractiveness Computing Symposium 2019, NagoyaUniv., Higashiyama campus, August 2019.
    Typicality analysis of a food within a food category based on its appearance (in Japanese)
    Masamu Nakamura, Yasutomo Kawanishi, Keisuke Doman, Takatsugu Hirayama, Ichiro Ide, Daisuke Deguchi, Hiroshi Murase
    IEICE Tech. Rep. Media Experience and Virtual Environment, MVE2019-10, Nagoya Univ., Higashiyama campus, August 2018.
    Estiamting the attractiveness of a boxed lunch focusing on the attributes of side dishes (in Japanese)
    Masamu Nakamura, Keisuke Doman, Yasutomo Kawanishi, Takatsugu Hirayama, Ichiro Ide, Daisuke Deguchi, Hiroshi Murase
    Virtual Reality Society of Japan, 22nd Meeting of Special Interest Group on Odor, Taste, and Body Information, SBR2018-14, Volberia Daguri (Kagoshima), June 2018.


Last updated: 2021-05-13 11:06:07.794412227 +0900 JST m=+1.021065420.