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.
Highlights
Face detection has a wide range of applications in the areas such as automatic face recognition, object detection, face tracking, red-eye removal, face expression recognition, humanmachine interaction, surveillance, skin detection[17] etc
This paper presents the novel face detection system using a new technique called circular multi block local binary operator .In the second section, we present basic introduction
The performance is very good in that case but speed is major factor under concern. It gave good result in variable illumination, different facial expressions, different skin tone and with different human features, the detector didn’t give good result for variable size and rotated face.In addition to the good performance of detector, there always remains a need of fast detector which can be used for live image clips in the real world
Summary
This paper presents the novel face detection system using a new technique called circular multi block local binary operator .In the second section, we present basic introduction. Third and fourth sections include LBP and MLBP (Multi block local binary operator). Section sixth describes CMBLBP (circular multi block local binary operator). Section seventh gives Data base, Experiments and Result. Section Eight and nine include conclusion and references
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