Augmented reality fashion show using personalized 3D human models

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Abstract

When purchasing clothes online, consumers usually have to imagine what they might look like when wearing them in real life surroundings. This can hinder their ability to make appropriate purchasing decisions. In order to alleviate this uncertainty, we propose using augmenting fashion show, a new immersive experience to enable consumers to create personalized 3D models of themselves and have them fitted with a variety of purchasable clothing using Augmented Reality. Furthermore, their models are enhanced with animations (walking and a variety of poses) depending on the real environment. In this way, consumers can see a representation of themselves wearing a variety of clothes, and get a sense of what they would look like in real life surroundings. A prototype of our system was demonstrated, and a preliminary evaluation was conducted to verify our system. We have received positive feedback in terms of effectiveness, assistance and potential application.

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Xu, S., Yuan, J., Sun, X., Liu, Y., Liu, Y., Cheng, K., … Tanaka, J. (2020). Augmented reality fashion show using personalized 3D human models. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 12184 LNCS, pp. 435–450). Springer. https://doi.org/10.1007/978-3-030-50020-7_31

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