Applying Image Warping Technique to Implement Real-Time Virtual Try-On Based on Person´s 2D Image

A 2D virtual try-on approach using image warping technique was proposed. The input is the person´s 2D images that anybody can provide in any environment. Then using image processing technology, the feature points based on the 2D image body size, called control points, are identified. Finally, the image warping algorithm is developed to realize cost-efficient MTM wear by pre-prepared 2D try-on images database of the apparels. The experiments results show that the proposed approach can effectively conduct real-time virtual try-on only using the person´s 2D image. Comparing with other techniques for virtual try-on, our approach is simper and more pragmatic.