Afifa Dahmane

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This paper tackles the problem of head pose estimation which has been considered an important research task for decades. The proposed approach selects a set of features from the symmetrical parts of the face. The size of bilateral symmetrical area of the face is a good indicator of the Yaw head pose. We train a Decision Tree model in order to recognize head(More)
In this paper, we demonstrate in the first that the amount (lengths and widths) of symmetrical parts on face are good and robust geometric features for head pose estimation. Secondly, we selected from all proposed algorithms of symmetry detection in the literature, the more suitable algorithm and the values of the proposed features are computed using some(More)
This paper addresses the problem of head pose estimation in order to infer non-intrusive feedback fromusers about gaze attention. The proposed approach exploits the bilateral symmetry of the face. Size and orientation of the symmetrical area of the face is used to estimate roll and yaw poses by themean of decision tree model. The approach does not need the(More)
In this paper, we report on user behaviors by analyzing visual clues while users are watching various TV broadcast in pilot settings. We detail the first results of the empathic analysis of viewers watching four distinct videos in dedicated recording sessions. Viewers are sitting in front of a TV set in unconstrained position (free postures, free head poses(More)
AAOur aim is the coding of image with XML text, the decoding of such descriptors and the reconstruction of the corresponding shapes. The image is assumed segmented into regions and each one is considered as shape. We present firstly a review of the textual format (LWDOS: Language for Writing Descriptors of Outline Shapes) proposed in the literature to write(More)
We introduce a new test collection named FoxFaces, dedicated to researchers in face recognition and analysis. The creation of this dataset was motivated by a lack encountered in the existing 3D/4D datasets. FoxFaces contains 3 face datasets obtained with several devices. Faces are captured with different changes in pose, expression and illumination. The(More)
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