Scale-Space Properties of the Multiscale Morphological Dilation-Erosion
IEEE Transactions on Pattern Analysis and Machine Intelligence
Neural Network-Based Face Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Example-Based Learning for View-Based Human Face Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Pattern Recognition Letters
Integrating active face tracking with model based coding
Pattern Recognition Letters
Morphological bidirectional associative memories
Neural Networks
Real-time head tracking from the deformation of eye contours using a piecewise affine camera
Pattern Recognition Letters
A fast algorithm for tracking human faces based on chromatic histograms
Pattern Recognition Letters
Frontal-view face detection and facial features extraction using color and morphological operations
Pattern Recognition Letters
A new face detection method based on shape information
Pattern Recognition Letters
Probabilistic visual learning for object detection
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Finding faces in cluttered scenes using random labeled graph matching
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Journal of Cognitive Neuroscience
A hierarchical neural network for human face detection
Pattern Recognition
Face recognition/detection by probabilistic decision-based neural network
IEEE Transactions on Neural Networks
Morphological associative memories
IEEE Transactions on Neural Networks
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Face localization is a previous step for face recognition and in some circumstances has proven to be a difficult task. The Heteroassociative Morphological Memories are a recently proposed neural network architecture based on the shift of the basic algebraic framework. They possess some robustness to speci.c noise models (erosive and dilative noise). Here we show how they can be applied to the task of face localization.