Listar por autor UPNA "Ariz Galilea, Mikel"
Mostrando ítems 1-6 de 6
-
Contributions to Head Pose Estimation methods
Head Pose Estimation (HPE) is currently a growing research field, mainly because of the proliferation of human-computer interfaces (HCI) in the last decade. It offers a wide variety of applications, including driver ... -
Hybrid method based on topography for robust detection of iris center and eye corners
A multi-stage procedure to detect eye features is presented. Multiresolution and topographic classification are used to detect the iris center. The eye corner is calculated combining valley detection and eyelid curve ... -
Improved strategies for HPE employing learning-by-synthesis approaches
The first contribution of this paper is the presentation of a synthetic video database where the groundtruth of 2D facial landmarks and 3D head poses is available to be used for training and evaluating Head Pose Estimation ... -
Low cost gaze estimation: knowledge-based solutions
Eye tracking technology in low resolution scenarios is not a completely solved issue to date. The possibility of using eye tracking in a mobile gadget is a challenging objective that would permit to spread this technology ... -
Optimizing interoperability between video-oculographic and electromyographic systems
A new system is presented that enhances the interoperability between a video-oculographic (VOG) system for mouse movement control and an electromyographic (EMG) system for mouse click detection. The proposed VOG-EMG system ... -
Robust and accurate 2D-tracking-based 3D positioning method: application to head pose estimation
Head pose estimation (HPE) is currently a growing research field, mainly because of the proliferation of human–computer interfaces (HCI) in the last decade. It offers a wide variety of applications, including human behavior ...