Abstract Head pose estimation (HPE) is an active and popular area of research. Over the years, many approaches have constantly been developed, leading to a progressive improvement in accuracy; nevertheless, head remains open research topic, especially unconstrained environments. In this paper, we will review increasing amount available datasets modern methodologies used estimate orientation, wi...

A great interest is focused on driver assistance systems using the head pose as an indicator of the visual focus of attention and the mental state. In fact, the head pose estimation is a technique allowing to deduce head orientation relatively to a view of camera and could be performed by model-based or appearance-based approaches. Modelbased approaches use a face geometrical model usually obta...

This paper introduces a new approach to feature-based head tracking and pose estimation. Head tracking and pose estimation nd their most important applications in motion analysis for model-based video coding. The proposed algorithm employs an underlying 3D head model, feature-based pose estimation, and texture mapping to produce accurate templates for the feature tracking. In this way, the set ...

The present paper proposes a simultaneous estimation of both human head pose and shape. When head pose is estimated for a generic face model, a considerable estimation error is generated by the shape difference between the model and the target face. In the proposed framework, a specific face model is gradually created for the target face by deforming the generic model based on an error analysis...

A head pose estimation system is described, which uses low resolution video sequences to determine the orientation and position of a head with respect to a internally calibrated camera. The system employs a feature based approach to roughly estimate the head pose and an approach using a symmetry based illumination model to refine the head pose independent of the users albedo and illumination in...