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회원가입
서지반출
Automatic Camera Pose Determination from a Single Face Image
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  • Automatic Camera Pose Determination from a Single Face Image
  • Automatic Camera Pose Determination from a Single Face Image
저자명
Wei. Li,Lee. Eung-Joo,Ok. Soo-Yol,Bae. Sung-Ho,Lee. Suk-Hwan,Choo. Young-Yeol,Kwon. Ki-Ryong
간행물명
멀티미디어학회논문지
권/호정보
2007년|10권 12호|pp.1566-1576 (11 pages)
발행정보
한국멀티미디어학회
파일정보
정기간행물|ENG|
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기타
이 논문은 한국과학기술정보연구원과 논문 연계를 통해 무료로 제공되는 원문입니다.
서지반출

기타언어초록

Camera pose information from 2D face image is very important for making virtual 3D face model synchronize with the real face. It is also very important for any other uses such as: human computer interface, 3D object estimation, automatic camera control etc. In this paper, we have presented a camera position determination algorithm from a single 2D face image using the relationship between mouth position information and face region boundary information. Our algorithm first corrects the color bias by a lighting compensation algorithm, then we nonlinearly transformed the image into $YC_bC_r$ color space and use the visible chrominance feature of face in this color space to detect human face region. And then for face candidate, use the nearly reversed relationship information between $C_b;and;C_r$ cluster of face feature to detect mouth position. And then we use the geometrical relationship between mouth position information and face region boundary information to determine rotation angles in both x-axis and y-axis of camera position and use the relationship between face region size information and Camera-Face distance information to determine the camera-face distance. Experimental results demonstrate the validity of our algorithm and the correct determination rate is accredited for applying it into practice.