Face decorating system based on improved active shape models
Shuchang Wang, Yangsheng Wang, Bai Li · 2006
This paper presents a face decorating system, which can do makeup on a face image, such as wearing glass, beard or lipstick. In the framework, an improved face alignment method is proposed to localize the key landmarks of a face, which would be used to locate decorations. Active Shape Models(ASMs), as a robust image alignment method is employed to localize such landmarks. In this work, the authors review the conventional ASMs algorithm for face alignment, and present several improvements on it. It's believed that traditional ASMs is heavily dependent on initial states and prone to local minima. To improve the stability as well as its efficiency, much work is done. First, the eyes are roughly localized in the face area, which are used to initialize the shape model and evaluate the result. Then conventional point distribution model(PDM) is replaced by a newly proposed combined PDM. Experiments on a database containing 200 labelled face images show that the proposed method performs significantly better than traditional ASMs. Finally, the improved method was used to implement a face decorating system.