Modified gradient method for face localization

Authors:
Georgi Kukharev;Paweł Masicz;Piotr Masicz
Affiliations:
Technical University of Szczecin, Szczecin, Poland;Technical University of Szczecin, Szczecin, Poland;Technical University of Szczecin, Szczecin, Poland
Venue:
Enhanced methods in computer security, biometric and artificial intelligence systems
Year:
2005

Citing 4
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Neural Network-Based Face Detection

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Face Detection Based on Color and Local Symmetry Information

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Neural network-based face detection

Neural network-based face detection

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Abstract

In this paper we present our research and its results in face localization in color images. We use modified gradient method with oval object detection. This method gives very good speed results and our improvement gives better accuracy than it was in original gradient methods. Our system works well in different lighting condition and without any manual interactions. We will show how the system works with various pictures delivered from digital cameras, camcorders and television and with multiple faces localization. The differences in head size, lighting and background are considerable. We achieved very good results in detection rate - more than 93% in poor conditions and reach 99% in good. Our system is implemented in C++ and works well and fast.