Biased manifold embedding: Supervised isomap for person-independent head pose estimation

Springer, Berlin, Heidelberg
Vineeth N Balasubramanian Sethuraman Panchanathan
Abstract An integral component of face processing research is estimation of head orientation from face images. Head pose estimation bears importance in several applications in biometrics, human-computer interfaces, driver monitoring systems, video conferencing and social interaction enhancement programs. A recent trend in head pose estimation research has been the use of manifold learning techniques to capture the underlying geometry of the images. Face images with varying pose angles can be considered to be lying on a smooth ...