Feature extraction from faces using deformable templates
International Journal of Computer Vision
Neural Network-Based Face Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Detecting Faces in Images: A Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence
Face Detection in Color Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Face Recognition: Features Versus Templates
IEEE Transactions on Pattern Analysis and Machine Intelligence
Parametrized structure from motion for 3D adaptive feedback tracking of faces
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
A Fast and Accurate Face Detector for Indexation of Face Images
FG '00 Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000
Face Detection Using Mixtures of Linear Subspaces
FG '00 Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000
Finding faces in cluttered scenes using random labeled graph matching
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Meta-Analysis of Face Recognition Algorithms
FGR '02 Proceedings of the Fifth IEEE International Conference on Automatic Face and Gesture Recognition
Example Based Learning for View-Based Human Face Detection
Example Based Learning for View-Based Human Face Detection
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This paper presents an intelligent system to locate human faces within images. The proposed system can handle facial pattern variations due to certain changes in pose, illumination, and expression, as well as existence of spectacles, facial-hair, and occlusion. The system consists of three modules: preprocessing, face-components extraction, and final decision-making. In the first module, image processing algorithms are performed on images captured by cameras. Face components are extracted in the second module. A fuzzy neural network-based algorithm is designed for this purpose. In the last module, a commonsense-knowledge base is used for final evaluation of the identified features and determination of the face locations. The performance of the system is evaluated by conducting experiments on seven large test sets.