抄録
Face detection from an arbitrary scene has become a very actively studied topic in the image processing and pattern recognition fields. The reason for the importance of face detection is in its broad applications, for example in human detection by means of visual input for security reason, human-machine interaction, and video archiving. Human face is composed from several components, each with large varieties and it can take many postures in arbitrary scene, which make detection task a very difficult one. In this study we propose a method for robust face detection from arbitrary scene utilizing neural network as face's posture predictor and partial template matching of human face. The proposed model is robust to the lighting conditions and postures of the frontal faces.
本文言語 | English |
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ホスト出版物のタイトル | Proceedings of SPIE - The International Society for Optical Engineering |
編集者 | S. Kaneko, H. Cho, G.K. Knopf, R. Tutsch |
ページ | 119-127 |
ページ数 | 9 |
巻 | 5603 |
DOI | |
出版ステータス | Published - 2004 |
イベント | Machine Vision and its Optomechatronic Applications - Philadelphia, PA, United States 継続期間: 2004 10月 26 → 2004 10月 28 |
Other
Other | Machine Vision and its Optomechatronic Applications |
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国/地域 | United States |
City | Philadelphia, PA |
Period | 04/10/26 → 04/10/28 |
ASJC Scopus subject areas
- 電子工学および電気工学
- 凝縮系物理学