Virtual Fitting Space for Dress Trials

Abstract

Abstract People buy clothes in stores which may take a lot of time for them to try their fitting and in online shopping there is no possibility where people can try-on the clothes which they want to buy. Our intention is that by creating a virtual fitting room environment we can improvise approachability of trying clothes on and need not have to waste time we need to have the correct measurement of the user and the dress model with correct rotation, measurement, location. Even people are interested more in online shopping and do buy a lot of things, but buying clothes online is still considered as ineffective way because people don’t have enough knowledge about dress fittings in online shopping and it is not even possible to try- on the clothes. In order to improvise this drawback we can use the virtual fitting room which would provide the online customers with a wide range of options and a great delight to the vendors online. This concept of e-clothing helps you decide whether the dress fits you or suits you in an easy and efficient manner. Our analysis about customers provides a great fitting of dress to the person as per their requirement. To identify a human we use skeleton detection and to find the outline of human we use human contour detection method. Different positions of human body are detected using Haar cascade classification method and warping process is used to resize the outfit according to the size of the human body.