Biased manifold embedding: A framework for person-independent head pose estimation

Conference/Journal
IEEE
Authors
Vineeth N Balasubramanian Jieping Ye Sethuraman Panchanathan
BibTex
Abstract
Abstract: The estimation of head pose angle from face images is an integral component of face recognition systems, human computer interfaces and other human-centered computing applications. To determine the head pose, face images with varying pose angles can be considered to be lying on a smooth low-dimensional manifold in high-dimensional feature space. While manifold learning techniques capture the geometrical relationship between data points in the high-dimensional image feature space, the pose label information of the ...