Face Recognition: The Problem of Compensating for Changes in Illumination Direction
IEEE Transactions on Pattern Analysis and Machine Intelligence
Face Recognition by Elastic Bunch Graph Matching
IEEE Transactions on Pattern Analysis and Machine Intelligence
International Journal of Computer Vision - Special issue on statistical and computational theories of vision: modeling, learning, sampling and computing, Part I
Detecting Faces in Images: A Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence
Face Recognition: Features Versus Templates
IEEE Transactions on Pattern Analysis and Machine Intelligence
FGR '02 Proceedings of the Fifth IEEE International Conference on Automatic Face and Gesture Recognition
Support vector machines: training and applications
Support vector machines: training and applications
Face recognition: A literature survey
ACM Computing Surveys (CSUR)
Journal of Cognitive Neuroscience
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Face localization is always a challenging job for a good recognition scheme. If process has to be done for 3D faces, it is quit difficult to localize faces. In this paper we provide a face localization scheme which is based on Average Threshold Value (AVT) and Grayscale Pixel Value Band (GPVB) with the help of Histogram Equalization. We experiment this approach on a synthetic 3D morphable face model of 20 individuals and get 89.51% accuracy among 20 faces with same lighting condition, which is appreciative for further work on same stream.