Detecting Faces in Images: A Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence
A wavelet subspace method for real-time face tracking
Real-Time Imaging
Application of Kekre's fast code book generation algorithm for face recognition
Proceedings of the International Conference and Workshop on Emerging Trends in Technology
Portable real time emotion detection system for the disabled
Expert Systems with Applications: An International Journal
Proceedings of the International Conference & Workshop on Emerging Trends in Technology
iCrux: an artificially intelligent virtual screen technology
Proceedings of the International Conference & Workshop on Emerging Trends in Technology
Hi-index | 0.01 |
In this paper we present a new approach to recognition of frontal faces in color images. It involves face extraction, creation of face models with wavelet packet decomposition for dimensionality reduction, creation of neural classifiers with radial basis functions and combination of classifier results. The first step of the method is face detection through skin-color modeling and segmentation. After the face is extracted, wavelet decomposition is performed. Then, neural classifiers are created respectively for the approximation and details of the wavelet packet decomposition. In the end, combination of classifier results is used to raise overall system availability.