Multi—pose Color Face Recognition in a Complex Background电子学报：英文版论文
【题名】：Multi—pose Color Face Recognition in a Complex Background电子学报：英文版论文(Multi—pose Color Face Recognition in a Complex BackgroundDianZiXueBao：YingWenBanLunWen) 【关键词】：面部识别 多姿态 分层模型 特征提取 图像识别 决策融合 【keywords】：MianBuShiBie DuoZiTai FenCengMoXing TeZhengTiQu TuXiangShiBie JueCeRongHe 【作者】：ZHUChangren WANGRunsheng      【来源】： 知识词典 【期刊名称】：电子学报：英文版(DianZiXueBao：YingWenBan) 【国际标准刊号】：1022-4653        【国内统一刊号】： 【作者单位】：ATRNationalKeyLaboratory,NationalUniversityofDefenseTechnology,Changsha410073,China(ATRNationalKeyLaboratory,NationalUniversityofDefenseTechnology,Changsha410073,China) 【分类号】：TN911.73      【页码】：-179-184      【出版年】：2003.2 【下载地址】：下载pdf全文         Face recognition has wider application fields. In recurrent references, most of the algorithms that deal with the face recognition in the static images are with simple background, and only used for ID picture recogni-tion. It is necessary to study the whole process of multi-pose face recognition in a clutter background. In this pa-per an automatic multi-pose face recognition system with multi-feature is proposed. It consists of several steps: face detection, detection and location of the face organs, feature extraction for recognition, recognition decision. In face de-tection the combination of skin-color and multi-verification which consists of the analysis of the shape, local organ fea-tures and head model is applied to improve the perfor-mance. In detection and location of the face organ feature points, with the analysis of multiple features and their pro-jections, the combination of an iterative search with a con-fidence function and template matching at the candidate points is adopted to improve the performance of accuracy and speed. In feature extraction for recognition, geome-try normalization based on three-point afflne transform is adopted to conserve the information to a maximum con-tent before the feature extraction of principal component analysis (PCA). In recognition decision, a hierarchical face model with the division of the face poses is introduced to reduce its retrieval space and thus to cut its time consump-tion. In addition, a fusion decision is applied to improve the face recognition performance. Also, pose recognition result can be got simultaneously. The new approach is ap-plied to 420 color images which consist of multi-pose faces with two visible eyes in a complex background, and the results are satisfactory.
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