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).
Works Cited:
Miss. Gauri R. Kondane, Dr. Nitin Mandaogade" RESEARCH ON VIRTUAL DRESSING ROOM IMPLEMENTATION USING BODY IMAGE CLOTHMAPPING ", IJIREEICE International Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control Engineering, vol. 11, no. 10, pp. 12-15, 2023. Crossref https://doi.org/: 10.17148/IJIREEICE.2023.111003
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