The proposed system is a novel hardware architecture of face-detection engine for mobile applications. Here MCT(Modified Census Transform) and Adaboost learning technique as basic algorithms of face-detection engine. It is 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 this...
The proposed system is a novel hardware architecture of face-detection engine for mobile applications. Here MCT(Modified Census Transform) and Adabo...