Identification of Human Image Mapped with Clothing for Dress Selection

With a significant increase in the fashion market, consumers can shop from the comfort of own home through e-shopping. However, one of the prominent disadvantages is lack of ability to try a garment before buying through Internet; customers may feel unsure about size and yet look. The selection of dress from the proposed system is made realistic and accurate by implementing image processing, machine learning, and AR. The first step to the process is to isolate the human figure from the input image by using feature extraction such as background subtraction, edge-detection and of body part. Once the human figure is isolated, the system is then in a position to place chosen gargets on the corresponding identified points on the human figure. This mapping process encompasses the placement of clothing item's outline and fabric feel on the figure and gender of the user.