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
The FERET Evaluation Methodology for Face-Recognition Algorithms
IEEE Transactions on Pattern Analysis and Machine Intelligence
Distortion Invariant Object Recognition in the Dynamic Link Architecture
IEEE Transactions on Computers
Online Facial Expression Recognition Based on Personalized Galleries
FG '98 Proceedings of the 3rd. International Conference on Face & Gesture Recognition
PersonSpotter - Fast and Robust System for Human Detection, Tracking and Recognition
FG '98 Proceedings of the 3rd. International Conference on Face & Gesture Recognition
1-Click Learning of Object Models for Recognition
BMCV '02 Proceedings of the Second International Workshop on Biologically Motivated Computer Vision
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Elastic graph matching and its extension bunch graph matching have proven to be among the best methods for face recognition and the interpretation of facial expressions. We here demonstrate for the first time that, in combination with a simple color template, it is also an excellent means for the localization of faces in cluttered still images. The system does not need extensive learning, all information is extracted from a handful of example face images.