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3D Face Reconstruction and Gaze Estimation from Multi-view Video using Symmetry Prior
https://ipsj.ixsq.nii.ac.jp/records/101683
https://ipsj.ixsq.nii.ac.jp/records/101683dddd4a34-9f54-4026-9690-c1ff4a475241
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
IPSJ-TCVA0400021.pdf (5.4 MB)
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Copyright (c) 2012 by the Information Processing Society of Japan
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| オープンアクセス | ||
| Item type | Trans(1) | |||||||
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| 公開日 | 2012-10-19 | |||||||
| タイトル | ||||||||
| タイトル | 3D Face Reconstruction and Gaze Estimation from Multi-view Video using Symmetry Prior | |||||||
| タイトル | ||||||||
| 言語 | en | |||||||
| タイトル | 3D Face Reconstruction and Gaze Estimation from Multi-view Video using Symmetry Prior | |||||||
| 言語 | ||||||||
| 言語 | eng | |||||||
| キーワード | ||||||||
| 主題Scheme | Other | |||||||
| 主題 | [Regular Paper - Research Paper] 3D shape reconstruction, gaze estimation, multi-view video, symmetry prior, super-resolution | |||||||
| 資源タイプ | ||||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||||
| 資源タイプ | journal article | |||||||
| 著者所属 | ||||||||
| Kyoto University | ||||||||
| 著者所属 | ||||||||
| Kyoto University | ||||||||
| 著者所属 | ||||||||
| Kyoto University | ||||||||
| 著者所属(英) | ||||||||
| en | ||||||||
| Kyoto University | ||||||||
| 著者所属(英) | ||||||||
| en | ||||||||
| Kyoto University | ||||||||
| 著者所属(英) | ||||||||
| en | ||||||||
| Kyoto University | ||||||||
| 著者名 |
Qun, Shi
× Qun, Shi
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| 著者名(英) |
Qun, Shi
× Qun, Shi
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| 論文抄録 | ||||||||
| 内容記述タイプ | Other | |||||||
| 内容記述 | In this paper we propose a novel method that performs 3D face reconstruction, and non-constrained and non-contact gaze estimation on a moving object, whose head-pose can freely change, from multi-view video. The main idea is to first reconstruct the 3D face with high accuracy using symmetry prior. Then we generate a super-resolution virtual frontal face video from the estimated 3D face geometry and the original multi-view video. Finally a 3D eyeball model is introduced to estimate the three-dimensional gaze direction from the virtual frontal face video. Experiments with real data illustrate the effectiveness of our method. | |||||||
| 論文抄録(英) | ||||||||
| 内容記述タイプ | Other | |||||||
| 内容記述 | In this paper we propose a novel method that performs 3D face reconstruction, and non-constrained and non-contact gaze estimation on a moving object, whose head-pose can freely change, from multi-view video. The main idea is to first reconstruct the 3D face with high accuracy using symmetry prior. Then we generate a super-resolution virtual frontal face video from the estimated 3D face geometry and the original multi-view video. Finally a 3D eyeball model is introduced to estimate the three-dimensional gaze direction from the virtual frontal face video. Experiments with real data illustrate the effectiveness of our method. | |||||||
| 書誌レコードID | ||||||||
| 収録物識別子タイプ | NCID | |||||||
| 収録物識別子 | AA12394973 | |||||||
| 書誌情報 |
IPSJ Transactions on Computer Vision and Applications（CVA） 巻 4, p. 149-160, 発行日 2012-10-19 |
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| ISSN | ||||||||
| 収録物識別子タイプ | ISSN | |||||||
| 収録物識別子 | 1882-6695 | |||||||
| 出版者 | ||||||||
| 言語 | ja | |||||||
| 出版者 | 情報処理学会 | |||||||
