基于fpga+arm的人脸实时检测系统研究word格式论文.docxVIP

优秀毕业论文 精品参考文献资料 Abstract With the rapid development of image processing technology, visual inspection technology as one of todays hottest technical areas has been applied to the aerospace, industrial, transportation, home, communications and other fields. It has the merit of non-contact and non-offensive which are unable to compare by other technologies. Since most of the current image detection technology developed on the pc platform has the disadvantages of bulkiness and poor portability, It is not suitable on some special occasions. The embedded systems with the advantages of small size, low power consumption and low cost is just to make up for the disadvantages of PC platform, Therefore, design an image detecting system based on embedded system has great practical value and broader development prospects. The paper designed a face detection system based on embedded system, and realized the imaging, processing, examination, result demonstration and other functions. Since the present face image inspecting technology uses the Adaboost algorithm generally, The paper first introduced the Haar characteristics, the integral image, sorter as well as the cascade sorter Adaboost algorithm in detail, then using a combination FPGA+ARM as the hardware platform of system which significantly improved the processing speed of the system, and compatibility, meanwhile, carried on the optimized processing of Image acquisition. Through the ping-pong operation to the buffer of image, the image acquisition efficiency and the timeliness of image processing was greatly improved. By transplants the embedded Linux operation tradition which has the merits of open source, small size and scalable to the ARM embedded system, Strengthened the processing complex situation ability of system. Generally, the design of image processing software was difficult, High costs, heavy and long development cycles. But with the emergence of OpenCV, has made the significant III contribution for th