We propose a novel virtual fitting system for seamlessly adjusting 2D clothing images to users by inferring their 3D body shape models from single-shot depth images. To increase fitting accuracy between virtual clothes and the body of the user, the system transforms and overlays the clothing image onto the body image in real time. Observations indicate that the system attains high fitting accuracy when overlaying clothing images captured from a person with a body shape similar to that of the user. We therefore develop a method for rapidly acquiring body shape models and selecting suitable clothing images based on shape similarity. We show a number of fitting results, and evaluate the fitting accuracy of both our method and an existing method without the consideration of the body shape.
Sekine et al. REF introduced a virtual fitting system that adjusts 2D clothing images to users through inferring their body shapes with depth images.
Virtual Fitting by Single-Shot Body Shape Estimation
Proceedings of the 5th International Conference on 3D Body Scanning Technologies, Lugano, Switzerland, 21-22 October 2014
Proceedings of the 5th International Conference on 3D Body Scanning Technologies, Lugano, Switzerland, 21-22 October 2014
Computer Science