The interest in the online shopping field has increased considerably nowadays. This has led to emerging technologies being applied in this context. One of the sectors to which particular attention has been paid is the clothing sale. The main reason comes from the problem of physically trying on clothes to choose the correct size. This issue can be addressed using methodologies based on virtual reality and Human-Computer Interaction (HCI). This paper presents a Virtual Dressing Room (VDR) application named TryItOn that allows the user to try on digital clothes. The proposed solution offers an immersive and realistic experience by combining a high degree of photorealism, the presence of an avatar with accurate measurements, the natural interaction with the environment through movements of hands or the entire body, and the use of a real-time physical simulation of the garment.

TryItOn: A Virtual Dressing Room with Motion Tracking and Physically Based Garment Simulation

Manfredi G.;Capece N.;Erra U.
;
Gilio G.;
2022-01-01

Abstract

The interest in the online shopping field has increased considerably nowadays. This has led to emerging technologies being applied in this context. One of the sectors to which particular attention has been paid is the clothing sale. The main reason comes from the problem of physically trying on clothes to choose the correct size. This issue can be addressed using methodologies based on virtual reality and Human-Computer Interaction (HCI). This paper presents a Virtual Dressing Room (VDR) application named TryItOn that allows the user to try on digital clothes. The proposed solution offers an immersive and realistic experience by combining a high degree of photorealism, the presence of an avatar with accurate measurements, the natural interaction with the environment through movements of hands or the entire body, and the use of a real-time physical simulation of the garment.
2022
978-3-031-15545-1
978-3-031-15546-8
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11563/159746
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