Food image generation and appetite evaluation based on appetite factor analysis by image features

Akihiro Suzuki; Kei Kanari; Mie Sato

doi:10.1117/12.2626095

30 April 2022 Food image generation and appetite evaluation based on appetite factor analysis by image features

Akihiro Suzuki, Kei Kanari, Mie Sato

Proceedings Volume 12177, International Workshop on Advanced Imaging Technology (IWAIT) 2022; 121772E (2022) https://doi.org/10.1117/12.2626095
Event: International Workshop on Advanced Imaging Technology 2022 (IWAIT 2022), 2022, Hong Kong, China

Abstract

In recent years, due to the COVID-19 pandemic and the widespread use of technology, the Internet and food and beverage websites are often used for take-out and food and beverage reservations, and information such as reviews and photos on these platforms has a significant impact on revenue. In this study, to develop an appetite-enhancing application, we focus on food images as a factor that strongly influences appetite and analyze what image features stimulate appetite. Then, based on the results of the analysis, we generate appetizing images using GAN (Generative Adversarial Network).

Citation Download Citation

Akihiro Suzuki, Kei Kanari, and Mie Sato "Food image generation and appetite evaluation based on appetite factor analysis by image features", Proc. SPIE 12177, International Workshop on Advanced Imaging Technology (IWAIT) 2022, 121772E (30 April 2022); https://doi.org/10.1117/12.2626095

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