Design and implementation of virtual barber APP based on deep-learning technology

Hairstyle is an essential part of appearance and one of the most important criteria for people to judge the image of others. Choosing the right hairstyle can enhance the charm of an individual's appearance and increase his or her self-confidence. The lack of visualization effect and personalized consideration when choosing hairstyles using traditional methods often leads to a significant deviation of the final result from the expectation. We designed a hairstyle generation system for hairstyle simulation and selection, which provides users with high-quality images and 3D visualizations of target hairstyles, thus realizing all-around personalized hairstyle design. The system's front end uses the Uni-app framework to build the user interface, an SDK to connect the front-end and back-end, and a MySQL database to store data. The system realizes the steps of face detection, image segmentation, hairstyle matching, and 3D reconstruction based on the adversarial generative network model and 3D reconstruction model. Finally, it generates precise 3D virtual hairstyles for users. Experimental results show that the system can help users preview and simulate the target hairstyles, providing convenience and intuition for users in hairstyle design and selection.