Design and VLSI implementation of high-performance face-detection engine for mobile applications

In this paper, we proposes a novel hardware architecture of face-detection engine for mobile applications. We used MCT (Modified Census Transform) and Adaboost learning technique as basic algorithms of face-detection engine. We have designed, implemented and verified the hardware architecture of face-detection engine for high-performance face detection and real-time processing. The face-detection chip is developed by verifying and implementing through FPGA and ASIC. The developed ASIC chip has advantage in real-time processing, low power consumption, high performance and low cost. So we expect this chip can be easily used in mobile applications.