International Journal of Innovative Research in                 Electrical, Electronics, Instrumentation and Control Engineering

A monthly Peer-reviewed / Refereed journal

ISSN Online 2321-2004
ISSN Print 2321-5526

Since 2013

Abstract: Recent advancements in web technology have given rise to numerous online shopping websites. However, online shopping comes with certain disadvantages. One notable challenge is the difficulty in visualizing how a particular garment would appear when worn, given the diverse variations in body size, shape, hair, and skin color across the human population. Ensuring the fit of clothing is of paramount importance to both customers and retailers. Our approach centers around assessing how a chosen garment complements the user's body and replicating its real-world appearance. This is achieved by identifying critical points on the garment and the user's body dimensions through image processing techniques. In this paper, we present an application designed, implemented, and tested to enhance the virtual dressing room experience

Keywords: Virtual Dressing Room, Body Image Cloth Mapping, Convolutional Neural Network (CNN).


PDF | DOI: 10.17148/IJIREEICE.2023.11910

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