3D head pose estimation using color information

This paper presents a new method to estimate the 3D pose of human heads in a single image. In contrast with other approaches, this method only uses color information about the skin region and the hair region of a head. We use an efficient algorithm based on a perceptually uniform color system and fuzzy theory to extract the skin region and the hair region, and to detect faces in images. After that, some geometrical properties such as the area, the center, and the axis of least inertia of the skin region and the hair region are calculated, which are then used to estimate the 3D pose of the head.

[1]  David Machin,et al.  Real-time facial motion analysis for virtual teleconferencing , 1996, Proceedings of the Second International Conference on Automatic Face and Gesture Recognition.

[2]  Qian Chen,et al.  3D head pose estimation without feature tracking , 1998, Proceedings Third IEEE International Conference on Automatic Face and Gesture Recognition.

[3]  Kunihiro Chihara,et al.  A robust algorithm for 3D head pose estimation , 1998, Proceedings. Fourteenth International Conference on Pattern Recognition (Cat. No.98EX170).

[4]  Larry S. Davis,et al.  Computing 3-D head orientation from a monocular image sequence , 1996, Proceedings of the Second International Conference on Automatic Face and Gesture Recognition.

[5]  Haiyuan Wu,et al.  A fuzzy-theory-based face detector , 1996, Proceedings of 13th International Conference on Pattern Recognition.

[6]  Martlesham Heath,et al.  Real-Time Facial Motion Analysis for Virtual , 1996 .

[7]  Alexander Zelinsky,et al.  Real-time visual recognition of facial gestures for human-computer interaction , 1996, Proceedings of the Second International Conference on Automatic Face and Gesture Recognition.

[8]  Yasuhito Suenaga,et al.  Headreader: Realtime motion detection of human head from image sequence , 1992, Systems and Computers in Japan.

[9]  Qian Chen,et al.  Face detection by fuzzy pattern matching , 1995, Proceedings of IEEE International Conference on Computer Vision.

[10]  Christoph von der Malsburg,et al.  Tracking and learning graphs and pose on image sequences of faces , 1996, Proceedings of the Second International Conference on Automatic Face and Gesture Recognition.

[11]  Qian Chen,et al.  Active face observation system , 1996, Proceedings of 13th International Conference on Pattern Recognition.