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タブレットPCを用いた頭部姿勢変動にロバストな視線方向識別手法の検討

Author: 森藤, 夕騎
Publisher: 法政大学大学院理工学・工学研究科 2018-07-09
Edition/Format:   Downloadable archival material : Japanese
Summary:
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  Read more...
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Details

Genre/Form: Article
Departmental Bulletin Paper
Material Type: Internet resource
Document Type: Internet Resource, Archival Material
All Authors / Contributors: 森藤, 夕騎
OCLC Number: 997748389
Language Note: Japanese
Notes: JAIRO

Abstract:

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.

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