Estimation of Face Orientation from Shading Images
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- Suzuki Kaori
- Keio University
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- Saito Hideo
- Keio University
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- Ozawa Shinji
- Keio University
Bibliographic Information
- Other Title
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- 濃淡情報を用いた顔の向きの推定
- ノウタン ジョウホウ オ モチイタ カオ ノ ムキ ノ スイテイ
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Abstract
Sensing of human face orientation is vitally important tasks for applications to face to face teleconferences and so on. Most of methods for estimating face orientation from image processing demand extracting face features. However, feature extraction is much affected by environment inclusive of lighting and background, and some of them need manual operations. This paper proposes a robust method for estimating face orientation from shading images without feature extraction. First we obtain the 3-D shape and a shading image of object face by the equipment incorporated with a FG range sensor. Then head images with various postures are synthesized in advance. Next we compare an object image with synthesized images. The head-posture of the synthesized image having highest correlation with the object image is determined as the estimated posture. As a result of experiments using image sequences as the input, synthesized image sequences changed the face orientations following the change of face orientaions of input image sequences.
Journal
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- IEEJ Transactions on Electronics, Information and Systems
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IEEJ Transactions on Electronics, Information and Systems 117 (10), 1377-1383, 1997
The Institute of Electrical Engineers of Japan
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Details 詳細情報について
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- CRID
- 1390282679585553408
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- NII Article ID
- 130006844430
- 10002811703
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- NII Book ID
- AN10065950
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- ISSN
- 13488155
- 03854221
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- NDL BIB ID
- 4303585
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- Data Source
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- JaLC
- NDL
- Crossref
- CiNii Articles
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- Abstract License Flag
- Disallowed