3D active appearance model for aligning faces in 2D images

  title={3D active appearance model for aligning faces in 2D images},
  author={Chun-Wei Chen and Chieh-Chih Wang},
  journal={2008 IEEE/RSJ International Conference on Intelligent Robots and Systems},
Perceiving human faces is one of the most important functions for human robot interaction. The active appearance model (AAM) is a statistical approach that models the shape and texture of a target object. According to a number of the existing works, AAM has a great success in modeling human faces. Unfortunately, the traditional AAM framework could fail when the face pose changes as only 2D information is used to model a 3D object. To overcome this limitation, we propose a 3D AAM framework in… CONTINUE READING
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Publications referenced by this paper.
Showing 1-10 of 11 references

Active Appearance Models Revisited

International Journal of Computer Vision • 2004
View 3 Excerpts

Lucas-kanade 20 years on: A unifying framework

S. Baker, I. Matthews
International Journal of Computer Vision, vol. 56, no. 3, pp. 221 – 255, March 2004. • 2004
View 2 Excerpts

Real-time combined 2D+3D active appearance models

Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004. • 2004
View 2 Excerpts

Automatic tracking, coding and reconstruction of human faces using flexible appearance models

A. Lanitis, C. J. Taylor, T. F. Cootes
IEEE Electronic Letters, vol. 30, pp. 1578–1579, 1994. • 1994
View 1 Excerpt

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