9-6 視覚インタフェースのための頭部姿勢変動にロバストな視線方向識別手法の検討(第9部門ヒューマンインフォメーション)

抄録

We built a visual interface system in which automatic eye-direction classification robust against head pose variation was achieved by acquiring the 3D posture information of the face by means of a state-of-the-art head tracking software, faceAPI. We made a comparison between several feature extraction schemes for representing the local image pattern around the eyes in terms of validity in discriminating eye directions.