ABSTRACT
With the introduction of smart phones and tablets, we can enjoy online shopping anytime and while sitting in any part of the world. Online shopping has certainly replaced the traditional way of shopping for daily goods and clothing. When we choose online shopping, we get the benefit of credibility. Today, almost every online store offers cash on delivery, free shipping and discounted 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 who always complain of shortage of time. This is the reason, majority of the people have turned to online shopping. Here, they enjoy easy access to an attractive price range, prompt customer support, and free home delivery. There is no doubt that these are some of the attractive features that catches the attention of the consumers. Although there is one small issue that could make people lose interest in online shopping, it might not be possible to try-on clothes in such cases. Our motive here is to increase the time efficiency and improve the accessibility of clothes try on by creating a virtual dressing room environment. Our proposed approach is mainly based on extraction of the user image from the video stream, alignment of models and skin color detection. Extraction of user allows us to create an augmented reality environment by isolating the user area from the video stream and superimposing it onto a virtual environment in the user interface. We use the 3D locations of the joints for positioning, scaling and rotation in order to align the 2D cloth models with the user. Then, we apply skin color detection on video to handle the unwanted occlusions of the user and the model. Finally the model is superimposed on the user in real time
บทคัดย่อWith the introduction of smart phones and tablets, we can enjoy online shopping anytime and while sitting in any part of the world. Online shopping has certainly replaced the traditional way of shopping for daily goods and clothing. When we choose online shopping, we get the benefit of credibility. Today, almost every online store offers cash on delivery, free shipping and discounted 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 who always complain of shortage of time. This is the reason, majority of the people have turned to online shopping. Here, they enjoy easy access to an attractive price range, prompt customer support, and free home delivery. There is no doubt that these are some of the attractive features that catches the attention of the consumers. Although there is one small issue that could make people lose interest in online shopping, it might not be possible to try-on clothes in such cases. Our motive here is to increase the time efficiency and improve the accessibility of clothes try on by creating a virtual dressing room environment. Our proposed approach is mainly based on extraction of the user image from the video stream, alignment of models and skin color detection. Extraction of user allows us to create an augmented reality environment by isolating the user area from the video stream and superimposing it onto a virtual environment in the user interface. We use the 3D locations of the joints for positioning, scaling and rotation in order to align the 2D cloth models with the user. Then, we apply skin color detection on video to handle the unwanted occlusions of the user and the model. Finally the model is superimposed on the user in real time
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