Detecting Facial Expressions from face Images Using a Genetic Algorithm
ICPR '96 Proceedings of the International Conference on Pattern Recognition (ICPR '96) Volume III-Volume 7276 - Volume 7276
Estimating facial pose using shape-from-shading
Pattern Recognition Letters
3D Pose estimation of symmetrical objects of unknown shape
Image and Vision Computing
Robust real-time 3D head pose estimation from range data
Pattern Recognition
Robust pose estimation of face using genetic algorithm
SINOBIOMETRICS'04 Proceedings of the 5th Chinese conference on Advances in Biometric Person Authentication
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This paper describes a high speed face measurement system and an algorithm for pose estimation of human face using both color intensity and range images. The measurement system is designed so that we can obtain both color intensity and range images of a face without occlusion at high speed. Both color intensity and range images can be acquired within 37/60 seconds. The obtained face data are expressed as 3D wirejrame models with texture. Pose estimation is executed accurately by utilizing a property that the shape offace is almost symmetry. Locations of the eyes and eyebrows are also detected through the pose estimation. The generated 3D face model and pose estimation results are shown. Both this system and technique are effective for 3D face modeling. Generated models are available for many applications such as virtual reality, man-machine interfaces and teleconferencing.