Augmented reality is an emerging technology in many application domains. Among them is
the beauty industry, where live virtual try-on of beauty products is of great importance. In this
paper, we address the problem of live hair color augmentation. To achieve this goal, hair
needs to be segmented quickly and accurately. We show how a modified MobileNet CNN
architecture can be used to segment the hair in real-time. Instead of training this network
using large amounts of accurate segmentation data, which is difficult to obtain, we use crowd …