Digital Face Make-up Technology Based On Example

With rapid social development, people's use of makeup, as a kind of beautification method used in various occasions, environments, and specific situations to change their external appearance has become more important. When you go to the store to choose cosmetic products, you need to determine whether the product is suitable, but this sampling method is not only time-consuming, but also requires professional makeup skills. Another option is to use photoshop software to simulate the makeup effect, but it also needs relevant professional skills.This paper introduces a kind of algorithm based on sample digital face makeup, generated from sample pictures with different makeup templates. With this algorithmic method, customers can digitally view different makeup templates on their own face and choose the most suitable one. Our algorithm uses face positioning and facial features, and uses CIELAB color space on pictures for bilateral filtering, channel gradient editing, fusion, automatically transferring sample makeup effects to target images.Face make-up is currently recognized as an effective way to beautify the face. Human face images can make good effects that can be transferred to another image's face, which can have beautifying effects. The specific process is:First to find the face location, then mark facial features.; Then transfer the image into CIELAB color space that can decompose image into 3 channel, we can use bilateral filtering, gradient editor, and fusion of different operations in each channel; Examples of images to make up the final result is passed to the target image. Finally, to make the finished picture, the example image's features are placed onto the target image.Our main job is to introduce the existing digital face makeup technology, and analyze its application, its advantages and disadvantages of Zhu Xiu Ping and Tong. I propose a technology based on sample digital face makeup, which uses a sample picture and a target picture, to view a potential makeup style. The original digital makeup technology will be more concise, and will be based on sample number of other pictures, largest most diverse face technology database, and achieve simulated experimental results.