Sep 19, 2012 · We present a pose estimation framework that seeks to describe the global nonlinear relationship in terms of localized linear functions.

A two layer system (coarse/fine) is formulated on the assumptions that coarse pose estimation can be performed adequately using supervised linear methods, and ...

A pose estimation framework that seeks to describe the global nonlinear relationship in terms of localized linear functions and is tested using widely ...

A pose estimation system is implemented utilizing simple linear subspace methods and oriented Gabor and phase congruency features. The framework is tested using ...

A Two-Layer Framework for Piecewise Linear Manifold-Based Head Pose Estimation. 区分線形多様体に基づく頭部姿勢推定のための二層フレームワーク. Publisher site ...

In this dissertation, a pose estimation framework that seeks to describe the global nonlinear relationship in terms of localized linear functions is presented.

A two layer system (coarse/fine) is formulated on the assumptions that coarse pose estimation can be performed adequately using supervised linear methods, and ...

A Two-Layer Framework for Piecewise Linear Manifold-Based Head Pose Estimation. Jacob Foytik; Vijayan K. Asari. OriginalPaper 19 September 2012 Pages: 270 ...

In this paper, we propose a novel, robust head pose estimation method to predict 3D head pose directly from a single facial image using two-stage ensembles ...

A Two-Layer Framework for Piecewise Linear Manifold-Based Head Pose Estimation · J. FoytikV. Asari. Computer Science. International Journal of Computer Vision.