Abstract: The Introduction of smart phones and tablets, we will enjoy online shopping anytime and while sitting in any a portion of the planet. Online shopping has certainly replaced the normal way of buying daily goods and clothing. When we choose online shopping, we get the advantage of credibility. Today, almost every online store offers cash on delivery, free shipping and reduced prices. These online shopping stores eliminate the hassles of parking, getting stuck in traffic jams and standing in long queues for billing. They have also benefited those people that always complain of shortage of your time. This is the rationale; majority of the people have turned to online shopping. Here, they enjoy quick access to a beautiful price range, prompt customer support, and free home delivery. There is little question that these are a number of the attractive features that catches the eye of the consumers. Although there's one small issue that would make people lose interest in online shopping; it'd not be possible to try-on clothes in such cases. Our motive here is to extend the time efficiency and improve the accessibility of garments try by creating a virtual room environment.
Our proposed approach is especially supported extraction of the user image from the video stream, alignment of models
and complexion detection. Extraction of user allows us to make an augmented reality environment by isolating the user
area from the video stream and superimposing it onto a virtual environment within the interface. We use the 3D locations of the joints for positioning, scaling and rotation so as to align the 2D cloth models with the user. Then, we apply complexion detection on video to handle the unwanted occlusions of the user and therefore the model. Lastly, the model is covered on the user in real time.
Keywords: Virtual Dresser (VD), OpenCV
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DOI:
10.17148/IJARCCE.2021.10658
