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Face detection using gradient vector flow
Published in
Volume: 5
Pages: 3259 - 3263
Face detection is an important research area having wide applications in man-machine interface, visual surveillance and face recognition. We have proposed an algorithm for face detection using Gradient Vector Flow in gray level images which overcomes the problem for localization and initialization. The algorithm has been tested on various face databases and the result shows an accuracy of 97% with invariance to pose and orientation.
About the journal
JournalInternational Conference on Machine Learning and Cybernetics