Suggestion Based Outfit Selection Using Skin Tone Detection in Augmented Reality.
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2016, Vol 4, Issue 5
Abstract
Clothing is a necessity. Ancient humans used animal skin to protect themselves against weather. But today clothing is not just related to functionality, it has transformed into an element of lifestyle, it defines who you are. Fashion as we see today is a healthy industry. People try different clothes before choosing a particular one. Today, e-commerce has led to a huge change in this direction. People who shop online have no option to try them on. Advancements in consumer empowering technology are going to change the fashion industry too. Therefore, we came up with a solution that uses Augmented Reality for outfit selection. As per the Present Growing technology, this application is a boon to the clothing and fashion industry. Outfit selection using Augmented Reality allows user to choose clothes virtually. This application software simulates an apparel dressing room, by the implementation of a virtual mirror, portraying an augmented view of the user with virtual superimposed clothes. Unlike the technologies that use 3D imaging, our system relies on 2D imaging, thus being cheap and more user-friendly. This Application, of trying clothes virtually, is one of the most efficient processes in the modern world and it has multiple benefits including great results and satisfaction. It is fascinating to see such application actually works which gives appropriate results to its imagination and approach. The method suggested is beneficial to the customer and to the online retailer also. For the retailer it recesses strain on logistics and provides better user database. And for the customer, satisfaction and ease of the process are key factors. Commercially, later we will keep the cost as low as possible. “Virtual Dressing Environment” involves virtually trying out different clothing models which is done by mining of the user image, alignment of clothes and size recommendation system which offers the shopper a suggested size, based on a combination of factor.
Authors and Affiliations
Siddhesh Thakur, Chetan Parmar, Yaman Tiwari, Sumeet Kumar Shinde
Keywords
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