标题:Research on more features extraction and quick recognition algorithm of frontal face based on robustness
作者:Lv Xianguo; Zhao Hui; Dang Yuanzhen
作者机构:[Lv Xianguo; Zhao Hui; Dang Yuanzhen] Shandong Univ, Sch Elect Engn & Sci, Jinan 250100, Shandong, Peoples R China.
会议名称:5th International Conference on Digital Image Processing (ICDIP)
会议日期:APR 21-22, 2013
来源:FIFTH INTERNATIONAL CONFERENCE ON DIGITAL IMAGE PROCESSING (ICDIP 2013)
出版年:2013
卷:8878
DOI:10.1117/12.2031005
关键词:face recognition; feature extraction; feature fusion
摘要:The identification of face recognition refers to the computer technology of using of analysis and comparison face visual feature information for the identification. It can detect the human target, extract features and identify persons. This paper presents a method of feature extraction and quick recognition for frontal face, which has a good robustness for some unexpected faces. For frontal face, the paper selects face contour, ears and triangle area between two eyes and nose as the features to be extracted. Extracting these features by different algorithms and analyzing the importance of them. According to the importance, different weights are put to these features. Finally, fuse these features for face recognition, in order to improving the recognition and ensuring the quick recognition.
收录类别:CPCI-S;EI;SCOPUS
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84889858418&doi=10.1117%2f12.2031005&partnerID=40&md5=67ded6c36f343834954ad2b6ea05d742
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