DeepTaste: Augmented Reality Gustatory Manipulation with GAN-Based Real-Time Food-to-Food Translation

We have been studying augmented reality (AR)-based gustatory manipulation interfaces and previously proposed a gustatory manipulation interface using generative adversarial network (GAN)-based real time image-to-image translation. Unlike three-dimensional (3D) food model-based systems that only chan...

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Vydané v:	2019 IEEE International Symposium on Mixed and Augmented Reality (ISMAR) s. 212 - 223
Hlavní autori:	Nakano, Kizashi, Horita, Daichi, Sakata, Nobuchika, Kiyokawa, Kiyoshi, Yanai, Keiji, Narumi, Takuji
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.10.2019
Predmet:	Human centered computing Human computer interaction (HCI) Interaction paradigms Mixed / augmented reality Computing methodologies Computer graphics Graphics systems and interfaces Perception Computing methodologies Machine learning Machine learning approaches Neural networks Image color analysis Modulation Real-time systems Resists Solid modeling Three-dimensional displays Visualization
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