Face Recognition by Elastic Bunch Graph Matching
IEEE Transactions on Pattern Analysis and Machine Intelligence
Neural Network-Based Face Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Detecting Faces in Images: A Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence
Digital Image Processing
A Fully Automatic Approach to Facial Feature Detection and Tracking
AVBPA '97 Proceedings of the First International Conference on Audio- and Video-Based Biometric Person Authentication
Face Detection Using Mixtures of Linear Subspaces
FG '00 Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000
Robust Face Detection at Video Frame Rate Based on Edge Orientation Features
FGR '02 Proceedings of the Fifth IEEE International Conference on Automatic Face and Gesture Recognition
Active blobs: region-based, deformable appearance models
Computer Vision and Image Understanding - Special issue on nonrigid image registration
Real time facial expression recognition in video using support vector machines
Proceedings of the 5th international conference on Multimodal interfaces
Robust Real-Time Face Detection
International Journal of Computer Vision
Detection of Anchor Points for 3D Face Veri.cation
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops - Volume 03
Automatic Detection of Facial Landmarks from AU-coded Expressive Facial Images
ICIAP '07 Proceedings of the 14th International Conference on Image Analysis and Processing
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A new method for realtime face localization from a streaming color video was developed. The method consisted of three stages. First, the face-like skin-colored image region was segmented from the background and transformed into the grey scale representation. Second, the cropped image was convolved with Sobel operator in order to extract local oriented edges at 16 orientations. The extracted local oriented edges were grouped together to form regions of interest which represent landmark candidates. Further, the candidates were matched against edge orientation model to verify the existence of the landmark in the image. Finally, the located landmarks were next spatially arranged into the face-like constellations. The best face-like constellation of the landmark candidates was defined by a new scoring function. The test results demonstrated that the proposed method located expressive faces with high rates in real time from facial images under controlled head rotation variations.