Lip Shape Representation and Lip Boundary Detection Using Mixture Model of Shape

형태계수의 Mixture Model을 이용한 입술 형태 표현과 입술 경계선 추출

  • 장경식 (동의대학교 멀티미디어공학과) ;
  • 이임건 (동의대학교 영화영상공학과)
  • Published : 2004.11.01


In this paper, we propose an efficient method for locating human lips. Based on Point Distribution Model and Principle Component Analysis, a lip shape model is built. Lip boundary model is represented based on the concatenated gray level distribution model. We calculate the distribution of shape parameters using Gaussian mixture. The problem to locate lip is simplified as the minimization problem of matching object function. The Down Hill Simplex Algorithm is used for the minimization with Gaussian Mixture for setting initial condition and refining estimate of lip shape parameter, which can refrain iteration from converging to local minima. The experiments have been performed for many images, and show very encouraging result.