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Digital Object Identifier (DOI) : 10.14569/SpecialIssue.2011.010311
Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Special Issue on Artificial Intelligence, 2011.
Abstract: In real world applications, it is very challenging to implement a good detector which gives best performance with great speed and accuracy. There is always a trade-off in terms of speed and accuracy, when we consider performance of a face detector. In the current work we have implemented a robust face detector which uses the new concept called integral Haar histograms with CMBLBP or CSMBLBP (circular multi block local binary operator).Our detector runs for real world applications and its performance is far better than any of the present detector. It works with good speed and enough accuracy with varying face sizes, varying illumination, varying angle, different face expressions, rotation, scaling like challenges which are mostly issues of concern in the domain of face detection. We use Matlab and Image processing tool box for the implementation of the above mentioned technique.
P K Suri and Amit Verma, “Robust Face Detection Using Circular Multi Block Local Binary Pattern and Integral Haar Features” International Journal of Advanced Computer Science and Applications(IJACSA), Special Issue on Artificial Intelligence, 2011. http://dx.doi.org/10.14569/SpecialIssue.2011.010311