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This paper presents a face detection hardware architecture which is based on a newly proposed algorithm using cascaded classifiers with vector angle similarity measurement between the investigated image and the face/non-face centroids. The proposed system is composed of three major modules: Best fit plane removal unit, Histogram equalization unit, and cascaded classification unit. Comprehensive optimization...
In this paper, we present a compact, low cost, real-time CMOS hardware architecture for face detection. The proposed architecture is based on a VLSI-friendly implementation of Shunting Inhibitory Convolutional Neural Networks (SICoNN). Reported experimental results show that the proposed architecture can detect faces with 93% detection accuracy at 5% false alarm rate. A VLSI Systolic architecture...
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