基于云计算的海量人脸特征图像大规模对比技术  

Based on the Amount of Computing Clouds Face Feature Image Contrast Large-scale Technology

作　　者：胡香娟[1] 

机构地区：[1]天津开发区职业技术学院电子信息学院,天津300457

出　　处：《科技通报》2013年第2期154-156,共3页Bulletin of Science and Technology

基　　金：天津市自然科学基金(07JCZDJC06100)

摘　　要：生物特征识别过程中的人脸识别,人脸数量的巨大,限制了这项技术的应用性。本文提出了一种基于云计算的大规模人脸特征图像匹配技术,运用广域云计算网络模型,对图像中存在的人脸特征信息进行有效地提取。在云计算的相关对比算法中,运用改进的ASM匹配模型进行人脸特征的提取与匹配。保证特征的进度,运用云计算强大的运算能力,完成海量图像的人脸图像匹配,克服了传统算法的弊端。实验证明,这种算法能够避免由于人脸的图像数量过大,造成的图像匹配耗时的缺陷,大幅提高了相关算法的应用性。In the process of biological characteristics identification face recognition,face the great limits the number of the technology application.Put forward based on the characteristics of cloud computing mass face feature image matching technology,using the wide-area cloud computing network model,the image of the existing in the face feature information effectively extract,cloud computing in the related contrast algorithms,by the improved ASM matching model of face feature extraction and match.Ensure that the progress of the features,using cloud computing powerful operation ability,complete mass of face image matching image.To overcome the disadvantages of the traditional algorithm.Experiments show that the algorithm can avoid the excessive number of face image,causing the image matching the time-consuming defects,big increases in the related algorithm is applied

关 键 词：云计算 特征人脸 图像匹配 

分 类 号：TN911.73[电子电信—通信与信息系统]