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RISS 인기검색어
- 검색키워드
- 저자 : Li Wei Eung-Joo Lee(이응주) (검색결과 2 건)
- 무료
- 기관 내 무료
- 유료
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Human-Computer Painting System Using Facial Mouth Feature Information
Li Wei,Eung-Joo Lee(이응주) 한국멀티미디어학회 2007 한국멀티미디어학회 학술발표논문집 Vol.2007 No.1
As computer vision technology been developing, while camera becomes standard configuration for personal computer (PC) and computer calculating speed becomes faster and faster. Computer vision have been more popular used in people daily life, people can use computer as an eye to see and recognize the real world. In this paper, we will present a novel electronic head Painting system which is based on human facial feature. Our system firstly detect human face from the input image by using face features in YUV Color model, and then for face candidate, use the nearly reversed relationship information between U and V cluster of face feature to detect mouth region. Then in the detected mouth region, mouth lip region gray level is usually lower than other region but V level higher than others, so we can reversal mouth region gray level and use associated threshold method to pick up mouth region pixels. Geometrical relationship between mouth region and face region boundary can be used to confirm human head rotation angles correspond to camera, which can be used to control brush movement in screen. Then we extract mouth shape feature by segment it into 5*5 pieces and calculate the eigenvector. Got eigenvector can be inputted into recognition machine based on neural network to recognize the mouth shape. Output codes of recognition machine can be judged as command to control painting brush when and with which size of brush to paint. We have made an experiment on windows XP to evaluate the effect of our system. The experiment result showed that our system can represent a good effect for head painting system.
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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.
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