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Determination of Camera Position from Single Face Image for 3D Face Modeling
Li Wei,Eung-Joo Lee(이응주),Soo-Yol Ok(옥수열),Sung-Ho Bae(배성호),Yeong-Yol Choo(추영열),Suk-Hwan Lee(이석환),Ki-Ryong Kwon(권기룡) 한국멀티미디어학회 2007 한국멀티미디어학회 학술발표논문집 Vol.2007 No.1
Camera position information from 2D face image is very important for making virtual 3D face model synchronize to the real face at view point, and it is also very important for any other areas such as: human-computer interface (face mouth), 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 and face region boundary. Our algorithm first corrects the color bias by a lighting compensation algorithm, then we nonlinearly transformed the image into YCbCr color space and use the visible chrominance feature of face in this color space to detect human face region. Then for face candidate, the nearly reversed relationship between Cb and Cr cluster of face feature can be used to detect mouth position. And we use the geometrical relationship between mouth position and face region boundary to determine rotation angles in both x-axis and y-axis of camera pose and use the relationship between face region size and camera-face distance to determine the camera-face distance. Experimental results show the validity of our algorithm and the correct determination rate is accredited for applying it into practice.