A novel supervised manifold learning method was proposed to realize high accuracy face recognition under varying illuminant conditions. The proposed method, named illuminant locality preserving projections （ILPP）, e...A novel supervised manifold learning method was proposed to realize high accuracy face recognition under varying illuminant conditions. The proposed method, named illuminant locality preserving projections （ILPP）, exploited illuminant directions to alleviate the effect of illumination variations on face recognition. The face images were first projected into low dimensional subspace, Then the ILPP translated the face images along specific direction to reduce lighting variations in the face. The ILPP reduced the distance between face images of the same class, while increase the dis tance between face images of different classes. This proposed method was derived from the locality preserving projections （LPP） methods, and was designed to handle face images with various illumi nations. It preserved the face image＇ s local structure in low dimensional subspace. The ILPP meth od was compared with LPP and discriminant locality preserving projections （DLPP）, based on the YaleB face database. Experimental results showed the effectiveness of the proposed algorithm on the face recognition with various illuminations.展开更多
近年来无线通信技术的发展极大促进了移动设备的普及,用户可以使用移动设备随时随地访问到网络服务.由于网络空间的虚拟性,数字签名作为一种具有消息完整性认证、可鉴别性和不可否认性的技术应运而生.但是,移动设备自身存在易丢失或被...近年来无线通信技术的发展极大促进了移动设备的普及,用户可以使用移动设备随时随地访问到网络服务.由于网络空间的虚拟性,数字签名作为一种具有消息完整性认证、可鉴别性和不可否认性的技术应运而生.但是,移动设备自身存在易丢失或被劫持等安全隐患,导致对签名密钥(数字签名的信任根)的保护相对较弱.为了保护密钥安全,国内外学者提出了两方协同签名,防止密钥存储或使用过程中存在欺诈或盗用等恶意行为.针对GM T 0003—2012《SM2椭圆曲线公钥密码术》标准中的SM2数字签名算法,考虑客户端服务器这种非平衡构架,设计一种轻量级的SM2两方协同签名协议是具有理论和应用价值的.具体来讲,客户端和服务器以交互的方式产生有效签名,同时保证此过程中没有恢复完整的签名密钥.所提协议的性能也可通过实验测试的结果得到佐证,即客户端生成单个签名操作需4.381 ms,大致相当于遵循原始SM2签名算法所需的耗时,可见SM2两方协同签名具有很强的实用性.展开更多
基金Supported by the National Natural Science Foundation of China(60772066)
文摘A novel supervised manifold learning method was proposed to realize high accuracy face recognition under varying illuminant conditions. The proposed method, named illuminant locality preserving projections （ILPP）, exploited illuminant directions to alleviate the effect of illumination variations on face recognition. The face images were first projected into low dimensional subspace, Then the ILPP translated the face images along specific direction to reduce lighting variations in the face. The ILPP reduced the distance between face images of the same class, while increase the dis tance between face images of different classes. This proposed method was derived from the locality preserving projections （LPP） methods, and was designed to handle face images with various illumi nations. It preserved the face image＇ s local structure in low dimensional subspace. The ILPP meth od was compared with LPP and discriminant locality preserving projections （DLPP）, based on the YaleB face database. Experimental results showed the effectiveness of the proposed algorithm on the face recognition with various illuminations.
文摘近年来无线通信技术的发展极大促进了移动设备的普及,用户可以使用移动设备随时随地访问到网络服务.由于网络空间的虚拟性,数字签名作为一种具有消息完整性认证、可鉴别性和不可否认性的技术应运而生.但是,移动设备自身存在易丢失或被劫持等安全隐患,导致对签名密钥(数字签名的信任根)的保护相对较弱.为了保护密钥安全,国内外学者提出了两方协同签名,防止密钥存储或使用过程中存在欺诈或盗用等恶意行为.针对GM T 0003—2012《SM2椭圆曲线公钥密码术》标准中的SM2数字签名算法,考虑客户端服务器这种非平衡构架,设计一种轻量级的SM2两方协同签名协议是具有理论和应用价值的.具体来讲,客户端和服务器以交互的方式产生有效签名,同时保证此过程中没有恢复完整的签名密钥.所提协议的性能也可通过实验测试的结果得到佐证,即客户端生成单个签名操作需4.381 ms,大致相当于遵循原始SM2签名算法所需的耗时,可见SM2两方协同签名具有很强的实用性.
