Democracy in neural nets: voting schemes for classification
Neural Networks
Handbook of Neural Computation
Handbook of Neural Computation
Face Recognition: Features Versus Templates
IEEE Transactions on Pattern Analysis and Machine Intelligence
Integration of Eigentemplate and Structure Matching for Automatic Facial Feature Detection
FG '98 Proceedings of the 3rd. International Conference on Face & Gesture Recognition
Dual-State Parametric Eye Tracking
FG '00 Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000
Recognizing Lower Face Action Units for Facial Expression Analysis
FG '00 Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000
Automatic Facial Feature Detection and Location
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 2 - Volume 2
A hierarchical neural network for human face detection
Pattern Recognition
Automatic extraction of head and face boundaries and facial features
Information Sciences—Informatics and Computer Science: An International Journal - Special issue: Informatics and computer science intelligent systems applications
Emotional states control for on-line game avatars
Proceedings of the 6th ACM SIGCOMM workshop on Network and system support for games
Face recognition using principle components and linear discriminant analysis
ISPRA'09 Proceedings of the 8th WSEAS international conference on Signal processing, robotics and automation
Face to face communications in multiplayer online games: a real-time system
HCI'07 Proceedings of the 12th international conference on Human-computer interaction: applications and services
Real-time facial feature point extraction
PCM'07 Proceedings of the multimedia 8th Pacific Rim conference on Advances in multimedia information processing
Facial feature extraction using PCA and wavelet multi-resolution images
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
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This paper presents a novel algorithm for the extraction of the eye and mouth (facial features) fields from 2D gray level images. Eigenfeatures are derived from the eigenvalues and eigenvectors of the binary edge data set constructed from eye and mouth fields. Such eigenfeatures are ideal features for finely locating fields efficiently. The eigenfeatures are extracted from a set of the positive and negative training samples for facial features and are used to train a multilayer perceptron (MLP) whose output indicates the degree to which a particular image window contains the eyes or the mouth within itself. An ensemble network consisting of a multitude of independent MLPs was used to enhance the generalization performance of a single MLP. It was experimentally verified that the proposed algorithm is robust against facial size and even slight variations of the pose.