专利快速检索-快速检索全球专利，免费商用专利数据库-IPRDB

1. 发明授权

US08442279B2 Assessing biometric sample quality using wavelets and a boosted classifier 有权
标题翻译：使用小波和增强分类器评估生物特征样本质量
公开(公告)号：US08442279B2
公开(公告)日：2013-05-14
申请号：US12457959
申请日：2009-06-26
申请人： Weizhong Yan , Frederick W Wheeler , Peter H Tu , Xiaoming Liu
发明人： Weizhong Yan , Frederick W Wheeler , Peter H Tu , Xiaoming Liu
IPC分类号： G06K9/00
CPC分类号： G07C9/00158 , G06K9/00268 , G06K9/036 , G06K9/6255
摘要： A biometric sample training device, a biometric sample quality assessment device, a biometric fusion recognition device, an integrated biometric fusion recognition system and example processes in which each may be used are described. Wavelets and a boosted classifier are used to assess the quality of biometric samples, such as facial images. The described biometric sample quality assessment approach provides accurate and reliable quality assessment values that are robust to various degradation factors, e.g., such as pose, illumination, and lighting in facial image biometric samples. The quality assessment values allow biometric samples of different sample types to be combined to support complex recognition techniques used by, for example, biometric fusion devices, resulting in improved accuracy and robustness in both biometric authentication and biometric recognition.
摘要翻译：描述了生物特征样本训练装置，生物特征样本质量评估装置，生物测定融合识别装置，集成生物测定融合识别系统以及其中可以使用每一种的实例过程。小波和增强分类器用于评估生物特征样本的质量，如面部图像。所描述的生物特征样本质量评估方法提供对各种降解因素（例如面部图像生物特征样本中的姿态，照明和照明）可靠的质量评估值。质量评估值允许组合不同样本类型的生物特征样本，以支持例如生物测定融合装置使用的复杂识别技术，从而提高生物特征认证和生物识别识别两者的精度和鲁棒性。

2. 发明申请

US20100014709A1 Super-resolving moving vehicles in an unregistered set of video frames 有权
标题翻译：在未注册的一组视频帧中超分辨移动车辆
公开(公告)号：US20100014709A1
公开(公告)日：2010-01-21
申请号：US12219225
申请日：2008-07-17
申请人： Frederick W. Wheeler , Anthony Hoogs
发明人： Frederick W. Wheeler , Anthony Hoogs
IPC分类号： G06K9/00 , H04N7/18
CPC分类号： G06T3/4053 , G06K9/0063 , G06T7/246 , G06T2207/10016 , G06T2207/30236
摘要： A method is provided for accurately determining the registration for a moving vehicle over a number of frames so that the vehicle can be super-resolved. Instead of causing artifacts in a super-resolved image, the moving vehicle can be specifically registered and super-resolved individually. This method is very accurate, as it uses a mathematical model that captures motion with a minimal number of parameters and uses all available image information to solve for those parameters. Methods are provided that implement the vehicle registration algorithm and super-resolve moving vehicles using the resulting vehicle registration. One advantage of this system is that better images of moving vehicles can be created without requiring costly new aerial surveillance equipment.
摘要翻译：提供了一种用于在多个帧上精确地确定移动车辆的登记的方法，使得车辆能够被超分辨。代替在超分辨率图像中引起人为因素，可以将移动的车辆具体地进行注册和超分辨。这种方法非常准确，因为它使用数学模型，以最少数量的参数捕获运动，并使用所有可用的图像信息来解决这些参数。提供实施车辆登记算法并使用所得到的车辆登记来超移动车辆的方法。该系统的一个优点是可以创建更好的移动车辆图像，而不需要昂贵的新型空中监视设备。

3. 发明申请

US20100111376A1 Assesssing biometric sample quality using wavelets and a boosted classifier 有权
标题翻译：使用小波和增强分类器评估生物特征样本质量
公开(公告)号：US20100111376A1
公开(公告)日：2010-05-06
申请号：US12457959
申请日：2009-06-26
申请人： Weizhong Yan , Frederick W. Wheeler , Peter H. Tu , Xiaoming Liu
发明人： Weizhong Yan , Frederick W. Wheeler , Peter H. Tu , Xiaoming Liu
IPC分类号： G06K9/00
CPC分类号： G07C9/00158 , G06K9/00268 , G06K9/036 , G06K9/6255
摘要： A biometric sample training device, a biometric sample quality assessment device, a biometric fusion recognition device, an integrated biometric fusion recognition system and example processes in which each may be used are described. Wavelets and a boosted classifier are used to assess the quality of biometric samples, such as facial images. The described biometric sample quality assessment approach provides accurate and reliable quality assessment values that are robust to various degradation factors, e.g., such as pose, illumination, and lighting in facial image biometric samples. The quality assessment values allow biometric samples of different sample types to be combined to support complex recognition techniques used by, for example, biometric fusion devices, resulting in improved accuracy and robustness in both biometric authentication and biometric recognition.
摘要翻译：描述了生物特征样本训练装置，生物特征样本质量评估装置，生物测定融合识别装置，集成生物测定融合识别系统以及其中可以使用每一种的实例过程。小波和增强分类器用于评估生物特征样本的质量，如面部图像。所描述的生物特征样本质量评估方法提供对各种降解因素（例如面部图像生物特征样本中的姿态，照明和照明）可靠的质量评估值。质量评估值允许组合不同样本类型的生物特征样本，以支持例如生物测定融合装置使用的复杂识别技术，从而提高生物特征认证和生物识别识别两者的精度和鲁棒性。

你已经成功收藏专利！

检索式保存成功!

IPRDB

热门服务

关于我们

友情链接

联系方式