Automatic Estimation of 2D Facial Muscle Parameter Using Neural Network

신경회로망을 이용한 2D 얼굴근육 파라메터의 자동인식

  • 김동수 (관동대학교 전자통신공학과) ;
  • 남기환 (관동대학교 전자통신공학과) ;
  • 한준희 (관동대학교 전자통신공학과) ;
  • 배철수 (관동대학교 전자통신공학과) ;
  • 권오홍 (관동대학교 전자통신공학과) ;
  • 나상동 (조선대학교 컴퓨터공학과)
  • Published : 1999.05.01


Muscle based face image synthesis is one of the most realistic approach to realize life-like agent in computer. Facial muscle model is composed of facial tissue elements and muscles. In this model, forces are calculated effecting facial tissue element by contraction of each muscle strength, so the combination of each muscle parameter decide a specific facial expression. Now each muscle parameter is decided on trial and error procedure comparing the sample photograph and generated image using our Muscle-Editor to generate a specific race image. In this paper, we propose the strategy of automatic estimation of facial muscle parameters from 2D marker movement using neural network. This also 3D motion estimation from 2D point or flow information in captered image under restriction of physics based fare model.