3D head pose estimation without feature tracking

Author

Chen, Qian ; Wu, Haiyuan ; Fukumoto, Takeshi ; Yachida, Masahiko

Author_Institution

Fac. of Syst. Eng., Wakayama Univ., Japan

fYear

1998

fDate

14-16 Apr 1998

Firstpage

88

Lastpage

93

Abstract

We present a robust approach to estimate the 3D pose of human heads in a single image. In contrast with other research, this method only makes use of the information about the skin region and the hair region of heads. At first, we use an efficient algorithm based on a perceptually uniform color system and fuzzy theory to extract the skin region and hair region, which are then used to detect faces in images. After that, the areas, the centers, and the axis of the least inertia both of the skin region and the hair region are calculated, which are then used to estimate the 3D pose of the head. We tested our method by estimating the 3D pose of a head from live video sequences. The three angles describing the three rotation elements of a head about X, Y and Z axes are extracted from each frame of the image sequence, which are then sent to a program that generates CG animations of a synthesized head in the estimated pose

Keywords

computer animation; computer vision; face recognition; fuzzy set theory; image colour analysis; image segmentation; image sequences; object detection; 3D head pose estimation; animations; face detection; feature tracking; fuzzy theory; hair region; image sequence; live video sequences; robust approach; rotation elements; skin region; three dimensional head pose estimation; uniform color system; Data mining; Face detection; Fuzzy systems; Hair; Head; Humans; Robustness; Skin; Testing; Video sequences;

fLanguage

English

Publisher

ieee

Conference_Titel

Automatic Face and Gesture Recognition, 1998. Proceedings. Third IEEE International Conference on

Conference_Location

Nara

Print_ISBN

0-8186-8344-9

Type

conf

DOI

10.1109/AFGR.1998.670930

Filename

670930