Paper Key : IRJ************057
Author: K. Nikhil Goud,Md. Isaaruddin,Muskan,N. Bharathi
Date Published: 04 Mar 2024
Abstract
The ever-changing fashion industry is always flooded with new trends that a lot of fashion enthusiasts like to try out on a regular basis. However, with the emergence of the COVID pandemic, touching things in public places without feeling the need of sanitizing your hands has become a difficult task. Trying on new clothing at stores can be very difficult for people who are always conscious about their health in such times. This has caused people to turn to online shopping, but it also brings the problem of clothes being too loose or too tight and users must return them often before finding the right size. All the existing virtual dressing room methods require Kinect sensors for virtual dress fitting and Kinect sensors are expensive. Our project targets this problem by introducing a virtual fitting room, in which the users can scan their measurements perfectly and browse different styles and see how they would look in those clothes using Augmented Reality (AR) technology. Our research is based on creating an application which takes a video of the user using the device camera and then divides the video into individual frames from which it extracts the users body. The project is implemented in Flask Web application with OpenCV a Python Module. The application works on devices with an inbuilt or attached camera, internet, and web browser