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首页> 外文期刊>Journal of Residuals Science & Technology >Face Image Detection and Recognition Technology of Big Data Based on Cloud Computing Technology
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Face Image Detection and Recognition Technology of Big Data Based on Cloud Computing Technology

机译：基于云计算技术的大数据人脸图像检测与识别技术

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摘要

With the gradual maturity of the technology of face recognition, the face recognition technology has been widely used in the public security system, the identification of documents, multimedia database and other fields. When encountering a large number of face data, the recognition speed of the traditional face detection system is decreased. In the era of big data, how to speed up the face recognition and increase the accuracy of the match has been the focus of research at home and abroad. Based on this, starting from the development of today's face recognition technology, the cloud computing platform for face recognition was put forward, and based on intelligent monitoring, face recognition products were developed. The related technologies of face detection and recognition were studied from the aspects of the face recognition process and ASM algorithm. The image matching cloud model was established using cloud computing technology with a powerful computing power, and the cloud algorithm was designed to complete the face image matching of massive images, and to prepare the face image recognition quickly. Experiments show that the research of face image detection and recognition technology with big data based on cloud computing technology can greatly improve the efficiency and accuracy of face detection and recognition.
机译：随着人脸识别技术的逐渐成熟，人脸识别技术已广泛应用于公安系统，证件识别，多媒体数据库等领域。当遇到大量的人脸数据时，传统人脸检测系统的识别速度下降。在大数据时代，如何加快人脸识别速度并提高比赛的准确性一直是国内外研究的重点。在此基础上，从当今人脸识别技术的发展出发，提出了人脸识别云计算平台，并在智能监控的基础上开发了人脸识别产品。从人脸识别过程和ASM算法两个方面研究了人脸检测与识别的相关技术。利用具有强大计算能力的云计算技术建立了图像匹配云模型，并设计了云算法来完成海量图像的人脸图像匹配，并快速准备人脸图像识别。实验表明，基于云计算技术的大数据人脸图像检测与识别技术的研究可以大大提高人脸检测与识别的效率和准确性。

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