3D head pose estimation without feature tracking
- 27 November 2002
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
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
This publication has 5 references indexed in Scilit:
- Computing 3-D head orientation from a monocular image sequencePublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Robust face feature analysis for automatic speechreading and character animationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Tracking and learning graphs and pose on image sequences of facesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Real-time visual recognition of facial gestures for human-computer interactionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Real-time facial motion analysis for virtual teleconferencingPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002