首页 | 本学科首页   官方微博 | 高级检索  
     检索      

SPATIAL REGULARIZATION OF CANONICAL CORRELATION ANALYSIS FOR LOW-RESOLUTION FACE RECOGNITION
作者姓名:周旭东  陈晓红  钱强
作者单位:College of Computer Science and Technology,Nanjing University of Aeronautics and Astronautics;Information Engineering College,Yangzhou University;College of Science,Nanjing University of Aeronautics and Astronautics
基金项目:Supported by the National Natural Science Foundation of China(61170151,61070133,60903130);the Natural Science Research Project of Higher Education of Jiangsu Province(12KJB520018);the Research Foundation of Nanjing University of Aeronautics and Astronautics(NP2011030)
摘    要:Canonical correlation analysis ( CCA ) based methods for low-resolution ( LR ) face recognition involve face images with different resolutions ( or multi-resolutions ), i.e.LR and high-resolution ( HR ) .For single-resolution face recognition , researchers have shown that utilizing spatial information is beneficial to improving the recognition accuracy , mainly because the pixels of each face are not independent but spatially correlated.However , for a multi-resolution scenario , there are no related works.Therefore , a method named spatial regularization of canonical correlation analysis ( SRCCA ) is developed for LR face recognition to improve the performance of CCA by the regularization utilizing spatial information of different resolution faces.Furthermore , the impact of LR and HR spatial regularization terms on LR face recognition is analyzed through experiments.

关 键 词:face  recognition  canonical  correlation  analysis  low-resolution  spatial  information

SPATIAL REGULARIZATION OF CANONICAL CORRELATION ANALYSIS FOR LOW-RESOLUTION FACE RECOGNITION
Zhou Xudong , Chen Xiaohong , Qian Qiang.SPATIAL REGULARIZATION OF CANONICAL CORRELATION ANALYSIS FOR LOW-RESOLUTION FACE RECOGNITION[J].Transactions of Nanjing University of Aeronautics & Astronautics,2013,30(1):77-81.
Authors:Zhou Xudong  Chen Xiaohong  Qian Qiang
Institution:1. College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, 210016, P.R.China;Information Engineering College, Yangzhou University, Yangzhou, 225127, P.R.China
2. College of Science, Nanjing University of Aeronautics and Astronautics, Nanjing, 210016, P.R.China
3. College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, 210016, P.R.China
Abstract:
Keywords:face recognition  canonical correlation analysis  low-resolution  spatial information
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号