云计算环境下人脸表情智能识别改进技术研究

随着人脸识别技术的开发,对于如何提高人脸表情智能识别改进技术的研究也越来越多;如何提高人脸识别的准确度和完整度是当前发展的主要需要,而计算机云计算功能在人脸识别中的应用在一定程度上解决了此问题;通过改进细菌觅食算法,再将其应用到主要成分分析算法对图像基本特征进行提取分析;通过以上的算法输入计算机网络云储存当中,实现云计算技术在人脸识别中的应用;文章将通过对于算法部署函数的办法进行图片解析工作,并且利用智能人脸识别软件对图像进行抽丝、分类、匹配等工作进行功能状态进行测试;实验结果表明利用云计算技术通过连接网络云计算系统可以对目前的人脸识别以及分类做到更高的准确性和适应性。

Research on Intelligent Recognition and Improvement of Facial Expression in Cloud Computing Environment

With the development of face recognition technology, more and more research on how to improve the intelligent recognition technology of facial expression is also more and more. How to improve the accuracy and integrity of face recognition is the main need of the current development, and the application of computing and cloud computing to face recognition has solved this problem to a certain extent. Through the improved bacterial foraging algorithm, and then it is applied to the main component analysis algorithm to extract the basic characteristics of the image analysis. Through the above algorithm into the computer network cloud storage, cloud computing technology to achieve the application of face recognition. This article will through image analysis for the algorithm''s function deployment, and spinning, the image using intelligent face recognition software, classification, work function test. The experimental results show that the cloud computing system can achieve higher accuracy and adaptability to the current face recognition and classification by using the cloud computing technology.