Automatic Analysis of Facial Expressions: The State of the Art
IEEE Transactions on Pattern Analysis and Machine Intelligence
Detecting Faces in Images: A Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence
Spatial-feature parametric clustering applied to motion-based segmentation in camouflage
Computer Vision and Image Understanding
Constructing Facial Identity Surfaces for Recognition
International Journal of Computer Vision
Realistic Animation Using Extended Adaptive Mesh for Model Based Coding
EMMCVPR '99 Proceedings of the Second International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition
Development of Entertainment Robot System by Using a Person Detection Method
VSMM '01 Proceedings of the Seventh International Conference on Virtual Systems and Multimedia (VSMM'01)
Eye Tracking and Animation for MPEG-4 Coding
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 2 - Volume 2
Extracting Facial Features and Face Inpainting
PCM '08 Proceedings of the 9th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Tracking multiple people with recovery from partial and total occlusion
Pattern Recognition
Mouth region localization method based on gaussian mixture model
IWICPAS'06 Proceedings of the 2006 Advances in Machine Vision, Image Processing, and Pattern Analysis international conference on Intelligent Computing in Pattern Analysis/Synthesis
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This paper presents an automatic processing of human face from color images. The system works hirarchically from detecting the position of human face and its features (such as eyes, nose, mouth, etc.) to contours and feature points extraction. The position of human face and its parts are detected from the image by applying the integral projection method, which synthesize the color information (skin and hair color) and edge information (intensity and sign). In order to extract the contour-line of face features we used a multiple active contour model with color information based energy terms. Facial feature points are decided based on the optimized contours. The proposed system is confirmed to be very effective and robust to deal with image of faces with complex background.