ABF Based Face Texturing

  • Authors:
  • Xia Zhou;Yangsheng Wang;Jituo Li;Daiguo Zhou

  • Affiliations:
  • Institute of Automation, Chinese Academy of Science, Beijing, China;Institute of Automation, Chinese Academy of Science, Beijing, China;Institute of Automation, Chinese Academy of Science, Beijing, China;Institute of Automation, Chinese Academy of Science, Beijing, China

  • Venue:
  • Edutainment '08 Proceedings of the 3rd international conference on Technologies for E-Learning and Digital Entertainment
  • Year:
  • 2008

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Abstract

A new approach of generating textures from multi-view images is presented in this paper. The generated textures can be mapped onto a 3D face model seamlessly. Angle Based Flattening(ABF) surface parameterization is used to build the correspondence between a 3D face model and its 2D texture domain. Feature points on face model are defined according to face anatomy, and their counterparts on images are automatically extracted with AAM method, plus by some little user interaction. The correspondence between feature points on 3D model and 2D images sets up the correspondence between images and the texture domain. With above methods, we can efficiently synthesis texture seamlessly from multi-view images, and map it onto the 3D face model.