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1. 发明专利

GB201010636D0 Non-drying label with thermal paper 未知
公开(公告)号：GB201010636D0
公开(公告)日：2010-08-11
申请号：GB201010636
申请日：2010-06-24
申请人： ZIQING LI

2. 发明申请

US20100304058A1 Non-drying label with thermal paper 审中-公开
标题翻译：不干燥标签带热敏纸
公开(公告)号：US20100304058A1
公开(公告)日：2010-12-02
申请号：US12699016
申请日：2010-02-02
申请人： Ziqing Li
发明人： Ziqing Li
IPC分类号： B41M5/382
CPC分类号： B32B7/06 , B32B3/14 , B32B3/18 , B32B7/12 , B32B27/10 , B32B27/32 , B32B27/36 , B32B29/005 , B32B2250/44 , B32B2255/12 , B32B2255/26 , B32B2307/30 , B32B2307/412 , B32B2307/414 , B32B2307/50 , B32B2307/748 , B32B2307/75 , B32B2519/00
摘要： A non-drying label with thermal paper, includes: thermal paper, forming a material of an upper surface of the non-drying label, having a first back adhesive layer; bottom paper, provided at lowest of the non-drying label, having a bottom spacing layer; and bearing paper, provided between the thermal paper and the bottom paper, having a second back adhesive layer. The thermal paper and the bottom paper adheres to the bearing paper via the back adhesive layers. An upper surface of the bearing paper has an information area, wherein the information area is applied with the parting silicone oil to form a transparent or translucent film spacing layer covered with the image and text information, and a joining area for adhering to the thermal paper via the first back adhesive layer, wherein the thermal paper is divided into a plurality of detachable portions corresponding to different areas of the bearing paper.
摘要翻译：具有热敏纸的非干燥标签包括：热敏纸，形成非干燥标签的上表面的材料，具有第一背面粘合剂层; 底部纸，设在最低的非干燥标签上，具有底部间隔层; 以及设置在热敏纸和底纸之间的轴承纸，具有第二背面粘合剂层。热敏纸和底纸通过背面粘合剂层粘合到轴承纸上。轴承纸的上表面具有信息区域，其中信息区域被涂覆有分离的硅油以形成覆盖有图像和文本信息的透明或半透明的膜间隔层，以及用于粘附到热敏纸上的接合区域通过第一背面粘合剂层，其中热敏纸被分成对应于轴承纸的不同区域的多个可拆卸部分。

3. 发明申请

US20050144149A1 Method for boosting the performance of machine-learning classifiers 有权
标题翻译：提高机器学习分类器性能的方法
公开(公告)号：US20050144149A1
公开(公告)日：2005-06-30
申请号：US11067284
申请日：2005-02-25
申请人： ZiQing Li , ZhenQiu Zhang , Long Zhu
发明人： ZiQing Li , ZhenQiu Zhang , Long Zhu
IPC分类号： G06K9/00 , G06K9/62 , G06F15/18
CPC分类号： G06K9/6231 , G06K9/00228 , G06K9/6256 , G06K9/626
摘要： A novel statistical learning procedure that can be applied to many machine-learning applications is presented. Although this boosting learning procedure is described with respect to its applicability to face detection, it can be applied to speech recognition, text classification, image retrieval, document routing, online learning and medical diagnosis classification problems.
摘要翻译：提出了可应用于许多机器学习应用的新颖的统计学习过程。尽管针对其面部检测的适用性描述了这种增强学习过程，但它可以应用于语音识别，文本分类，图像检索，文档路由，在线学习和医学诊断分类问题。

4. 发明授权

US07324671B2 System and method for multi-view face detection 失效
标题翻译：多视角人脸检测系统及方法
公开(公告)号：US07324671B2
公开(公告)日：2008-01-29
申请号：US11299504
申请日：2005-12-12
申请人： ZiQing Li , ZhenQiu Zhang , HongJiang Zhang
发明人： ZiQing Li , ZhenQiu Zhang , HongJiang Zhang
IPC分类号： G06K9/00
CPC分类号： G06K9/4614 , G06K9/00228 , G06K9/6256 , G06K9/626
摘要： A system and method for real-time multi-view (i.e. not just frontal view) face detection. The system and method uses a sequence of detectors of increasing complexity and face/non-face discriminating thresholds to quickly discard non-faces at the earliest stage possible, thus saving much computation compared to prior art systems. The detector-pyramid architecture for multi-view face detection uses a coarse-to-fine and simple-to-complex scheme. This architecture solves the problem of lengthy processing that precludes real-time face detection effectively and efficiently by discarding most of non-face sub-windows using the simplest possible features at the earliest possible stage. This leads to the first real-time multi-view face detection system which has the accuracy almost as good as the state-of-the-art system yet 270 times faster, allowing real-time performance.
摘要翻译：用于实时多视图（即，不仅仅是前视图）面部检测的系统和方法。该系统和方法使用增加复杂性和面部/非脸部鉴别阈值的检测器序列来尽可能快地丢弃非面部，从而与现有技术系统相比节省了大量的计算。用于多视角人脸检测的检测器 - 金字塔架构使用粗略到精细和简单到复杂的方案。该架构解决了长时间处理的问题，通过在最早阶段使用最简单的可能特征来废弃大多数非面子子窗口，从而有效且高效地排除了实时面部检测。这导致了第一个实时多视角人脸检测系统，其精度几乎与最先进的系统一样好，但是快了270倍，从而允许实时性能。

5. 发明授权

US07099505B2 Method for boosting the performance of machine-learning classifiers 有权
公开(公告)号：US07099505B2
公开(公告)日：2006-08-29
申请号：US11266691
申请日：2005-11-03
申请人： ZiQing Li , ZhenQiu Zhang , Long Zhu
发明人： ZiQing Li , ZhenQiu Zhang , Long Zhu
IPC分类号： G06K9/62
CPC分类号： G06K9/6231 , G06K9/00228 , G06K9/6256 , G06K9/626
摘要： A novel statistical learning procedure that can be applied to many machine-learning applications is presented. Although this boosting learning procedure is described with respect to its applicability to face detection, it can be applied to speech recognition, text classification, image retrieval, document routing, online learning and medical diagnosis classification problems.

6. 发明申请

US20060120572A1 System and method for multi-view face detection 失效
公开(公告)号：US20060120572A1
公开(公告)日：2006-06-08
申请号：US11299504
申请日：2005-12-12
申请人： ZiQing Li , HongJiang Zhang , ZhenQiu Zhang
发明人： ZiQing Li , HongJiang Zhang , ZhenQiu Zhang
IPC分类号： G06K9/00 , G06K9/36
CPC分类号： G06K9/4614 , G06K9/00228 , G06K9/6256 , G06K9/626
摘要： A system and method for real-time multi-view (i.e. not just frontal view) face detection. The system and method uses a sequence of detectors of increasing complexity and face/non-face discriminating thresholds to quickly discard non-faces at the earliest stage possible, thus saving much computation compared to prior art systems. The detector-pyramid architecture for multi-view face detection uses a coarse-to-fine and simple-to-complex scheme. This architecture solves the problem of lengthy processing that precludes real-time face detection effectively and efficiently by discarding most of non-face sub-windows using the simplest possible features at the earliest possible stage. This leads to the first real-time multi-view face detection system which has the accuracy almost as good as the state-of-the-art system yet 270 times faster, allowing real-time performance.

7. 发明授权

US07024033B2 Method for boosting the performance of machine-learning classifiers 有权
公开(公告)号：US07024033B2
公开(公告)日：2006-04-04
申请号：US10091109
申请日：2002-03-04
申请人： ZiQing Li , ZhenQiu Zhang , Long Zhu
发明人： ZiQing Li , ZhenQiu Zhang , Long Zhu
IPC分类号： G06K9/62
CPC分类号： G06K9/6231 , G06K9/00228 , G06K9/6256 , G06K9/626
摘要： A novel statistical learning procedure that can be applied to many machine-learning applications is presented. Although this boosting learning procedure is described with respect to its applicability to face detection, it can be applied to speech recognition, text classification, image retrieval, document routing, online learning and medical diagnosis classification problems.

8. 发明授权

US07050607B2 System and method for multi-view face detection 失效
公开(公告)号：US07050607B2
公开(公告)日：2006-05-23
申请号：US10091100
申请日：2002-03-04
申请人： ZiQing Li , HongJiang Zhang , ZhenQiu Zhang
发明人： ZiQing Li , HongJiang Zhang , ZhenQiu Zhang
IPC分类号： G06K9/00 , G06K9/62
CPC分类号： G06K9/4614 , G06K9/00228 , G06K9/6256 , G06K9/626
摘要： A system and method for real-time multi-view (i.e. not just frontal view) face detection. The system and method uses a sequence of detectors of increasing complexity and face/non-face discriminating thresholds to quickly discard non-faces at the earliest stage possible, thus saving much computation compared to prior art systems. The detector-pyramid architecture for multi-view face detection uses a coarse-to-fine and simple-to-complex scheme. This architecture solves the problem of lengthy processing that precludes real-time face detection effectively and efficiently by discarding most of non-face sub-windows using the simplest possible features at the earliest possible stage. This leads to the first real-time multi-view face detection system which has the accuracy almost as good as the state-of-the-art system yet 270 times faster, allowing real-time performance.

9. 发明授权

US07016881B2 Method for boosting the performance of machine-learning classifiers 有权
公开(公告)号：US07016881B2
公开(公告)日：2006-03-21
申请号：US11067284
申请日：2005-02-25
申请人： ZiQing Li , ZhenQiu Zhang , Long Zhu
发明人： ZiQing Li , ZhenQiu Zhang , Long Zhu
IPC分类号： G06F15/18
CPC分类号： G06K9/6231 , G06K9/00228 , G06K9/6256 , G06K9/626
摘要： A novel statistical learning procedure that can be applied to many machine-learning applications is presented. Although this boosting learning procedure is described with respect to its applicability to face detection, it can be applied to speech recognition, text classification, image retrieval, document routing, online learning and medical diagnosis classification problems.

10. 发明申请

US20060146062A1 Method and apparatus for constructing classifiers based on face texture information and method and apparatus for recognizing face using statistical features of face texture information 审中-公开
标题翻译：基于面部纹理信息构造分类器的方法和装置以及使用面部纹理信息的统计特征来识别脸部的方法和装置
公开(公告)号：US20060146062A1
公开(公告)日：2006-07-06
申请号：US11320672
申请日：2005-12-30
申请人： Seokcheol Kee , Bin Xu , Yangsheng Wang , Ziqing Li , Xiangsheng Huang , Xiaouxu Zhou
发明人： Seokcheol Kee , Bin Xu , Yangsheng Wang , Ziqing Li , Xiangsheng Huang , Xiaouxu Zhou
IPC分类号： G09G5/00
CPC分类号： G06K9/00275 , G06K9/6212
摘要： A method and an apparatus for constructing classifiers based on face texture information and a method and an apparatus for recognizing a face using statistical features of texture information. The method of constructing classifiers based on face texture information includes: cropping a first face image and a second face image from two different images; dividing the first face image and the second face image into partial images of predetermined sizes and cropping first partial images corresponding to the first image and second partial images corresponding to the second image; extracting first texture information corresponding to texture information of each of the first partial images and second texture information corresponding to texture information of each of the second partial images; checking similarities between the texture information of partial images of the first face image and that of the corresponding partial images of the second face image; and constructing weak classifiers for recognizing an identity of the face based on partial images according to the checked similarities.
摘要翻译：一种基于面部纹理信息构建分类器的方法和装置，以及使用纹理信息的统计特征来识别面部的方法和装置。基于面部纹理信息构建分类器的方法包括：从两个不同的图像裁剪第一个面部图像和第二个面部图像; 将所述第一面部图像和所述第二面部图像分割成预定尺寸的部分图像，并且对应于所述第一图像的裁剪第一部分图像和对应于所述第二图像的所述第二部分图像; 提取与所述第一部分图像中的每一个的纹理信息相对应的第一纹理信息和对应于每个第二部分图像的纹理信息的第二纹理信息; 检查第一面部图像的部分图像的纹理信息与第二面部图像的相应部分图像的纹理信息之间的相似度; 以及构建弱分类器，用于根据所检查的相似度，基于部分图像来识别面部的身份。

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