公开(公告)号：US20070133877A1

公开(公告)日：2007-06-14

申请号：US11301761

申请日：2005-12-13

申请人： Xianfang Wang ,  Zhouchen Lin ,  Jian Wang

发明人： Xianfang Wang ,  Zhouchen Lin ,  Jian Wang

IPC分类号： G06K9/00

CPC分类号： G06K9/222 ,  G06K9/00422 ,  G06K9/6835

摘要： Computer-readable media having computer-executable instructions distinguish the script type of at least one portion of a writing input. At least one sub-word of a writing line of a handwritten document is identified and is processed to determine the associated writing style that includes a cursive writing style and a hand-printed writing style. The writing line is consequently associated with a script type. The script type of a writing line is determined from the script types of the sub-words in the writing line. When the number of sub-words having a first script type is greater than the number of sub-words having a second script type, the script type of the writing line is categorized as the first script type. In addition, a script analyzer determines a writing style of at least one sub-word and selects one of a plurality of neural networks to categorize the script type of a writing line.

摘要翻译： 具有计算机可执行指令的计算机可读介质区分写入输入的至少一部分的脚本类型。 识别手写文件的写作线的至少一个子词，并被处理以确定包括草书写作风格和手写书写风格的相关联的书写风格。 因此，写作行与脚本类型相关联。 写作行的脚本类型由写入行中的子字的脚本类型确定。 当具有第一脚本类型的子字的数量大于具有第二脚本类型的子字的数量时，写入行的脚本类型被分类为第一脚本类型。 此外，脚本分析器确定至少一个子字的写入风格，并且选择多个神经网络中的一个以对写入线的脚本类型进行分类。

公开(公告)号：US20060204101A1

公开(公告)日：2006-09-14

申请号：US11067948

申请日：2005-03-01

申请人： Jian Wang ,  Liyon Chen ,  Yihua Xu ,  Yingnong Dang ,  Zhouchen Lin

发明人： Jian Wang ,  Liyon Chen ,  Yihua Xu ,  Yingnong Dang ,  Zhouchen Lin

IPC分类号： G06K9/00 ,  G06K9/34 ,  G06K9/46

CPC分类号： G06K9/222

摘要： A method and apparatus for performing EIC pattern analysis is described. Pattern feature extraction is performed followed by EIC symbol segmentation. A system may later use the result from the pattern analysis to determine a location of a captured image in relation to a larger array of EIC symbols.

公开(公告)号：US20060182343A1

公开(公告)日：2006-08-17

申请号：US11060120

申请日：2005-02-17

申请人： Zhouchen Lin ,  Liyong Chen ,  Jian Wang

发明人： Zhouchen Lin ,  Liyong Chen ,  Jian Wang

IPC分类号： G06K9/00

CPC分类号： G06K9/222

摘要： X-y positions of a digital pen's tip may be determined by using a calibration parameter to map the x-y positions of the respective centers of images captured by the pen's camera. The calibration parameter may be generated by iteratively calculating estimates of the calibration parameter. The iteratively calculated estimates may be based on a gradient of an error function of the iteratively generated estimates. Calibration input data may be produced by a user placing the pen tip in a fixed location on a surface, which may be a positionally encoded medium, such as paper, and then rotating the pen and/or moving the opposite end of the pen in various directions to capture multiple images for use in generating the calibration parameter. A user may perform such a calibration procedure without the need for complicated calibration equipment typically used in connection with conventional calibration techniques.

公开(公告)号：US20060179189A1

公开(公告)日：2006-08-10

申请号：US11045083

申请日：2005-01-31

申请人： Zhouchen Lin

发明人： Zhouchen Lin

IPC分类号： G06F13/12

CPC分类号： G06F17/214

摘要： Aspects of the present invention relate to the creation of an ink font. Based on characteristics of handwritten characters, the collection of characters may be scaled so as to adjust the size of the font to match predefined size values or relationships.

摘要翻译： 本发明的方面涉及油墨字体的创建。 基于手写字符的特征，可以缩放字符的集合，以便调整字体的大小以匹配预定义的大小值或关系。

公开(公告)号：US08730240B2

公开(公告)日：2014-05-20

申请号：US13584158

申请日：2012-08-13

申请人： Jiaping Wang ,  Xin Tong ,  Stephen S. Lin ,  Baining Guo ,  Heung-Yeung Shum ,  Zhouchen Lin

发明人： Jiaping Wang ,  Xin Tong ,  Stephen S. Lin ,  Baining Guo ,  Heung-Yeung Shum ,  Zhouchen Lin

IPC分类号： G06T15/50 ,  G06T15/60 ,  G01N21/47

CPC分类号： G06T15/506 ,  G01N21/47 ,  G01N21/4738 ,  G06T15/50

摘要： An exemplary method includes providing image data for an illuminated physical sample of a heterogeneous translucent material, determining one or more material properties of the material based in part on a diffusion equation where one of the material properties is a diffusion coefficient for diffusion of radiation in the material and where the determining includes a regularization term for the diffusion coefficient, mapping the one or more material properties to a virtual object volume, assigning virtual illumination conditions to the virtual object volume, and rendering the virtual object volume using the virtual illumination conditions as a boundary condition for a system of diffusion equations of the virtual object volume. Other methods, devices and systems are also disclosed.

摘要翻译： 一种示例性方法包括提供用于异质半透明材料的照明物理样品的图像数据，部分地基于扩散方程来确定材料的一种或多种材料性质，其中材料性质之一是用于辐射的扩散的扩散系数 材料，并且其中确定包括扩散系数的正则化术语，将一个或多个材料属性映射到虚拟对象体积，将虚拟照明条件分配给虚拟对象体积，以及使用虚拟照明条件将虚拟对象体积呈现为 虚拟物体体积扩散方程组的边界条件。 还公开了其它方法，装置和系统。

公开(公告)号：US20120306878A1

公开(公告)日：2012-12-06

申请号：US13584158

申请日：2012-08-13

申请人： Jiaping Wang ,  Xin Tong ,  Stephen S. Lin ,  Baining Guo ,  Heung-Yeung Shum ,  Zhouchen Lin

发明人： Jiaping Wang ,  Xin Tong ,  Stephen S. Lin ,  Baining Guo ,  Heung-Yeung Shum ,  Zhouchen Lin

IPC分类号： G06T15/50

CPC分类号： G06T15/506 ,  G01N21/47 ,  G01N21/4738 ,  G06T15/50

摘要： An exemplary method includes providing image data for an illuminated physical sample of a heterogeneous translucent material, determining one or more material properties of the material based in part on a diffusion equation where one of the material properties is a diffusion coefficient for diffusion of radiation in the material and where the determining includes a regularization term for the diffusion coefficient, mapping the one or more material properties to a virtual object volume, assigning virtual illumination conditions to the virtual object volume, and rendering the virtual object volume using the virtual illumination conditions as a boundary condition for a system of diffusion equations of the virtual object volume. Other methods, devices and systems are also disclosed.

摘要翻译： 一种示例性方法包括提供用于异质半透明材料的照明物理样品的图像数据，部分地基于扩散方程来确定材料的一种或多种材料性质，其中材料性质之一是用于辐射的扩散的扩散系数 材料，并且其中确定包括扩散系数的正则化术语，将一个或多个材料属性映射到虚拟对象体积，将虚拟照明条件分配给虚拟对象体积，以及使用虚拟照明条件将虚拟对象体积呈现为 虚拟物体体积扩散方程组的边界条件。 还公开了其它方法，装置和系统。

公开(公告)号：US08218880B2

公开(公告)日：2012-07-10

申请号：US12129515

申请日：2008-05-29

申请人： Deli Zhao ,  Zhouchen Lin ,  Rong Xiao ,  Xiaoou Tang

发明人： Deli Zhao ,  Zhouchen Lin ,  Rong Xiao ,  Xiaoou Tang

IPC分类号： G06K9/62 ,  G06K9/00 ,  G06K9/46

CPC分类号： G06K9/00275 ,  G06K9/6234

摘要： An exemplary method for extracting discriminant feature of samples includes providing data for samples in a multidimensional space; based on the data, computing local similarities for the samples; mapping the local similarities to weights; based on the mapping, formulating an inter-class scatter matrix and an intra-class scatter matrix; and based on the matrices, maximizing the ratio of inter-class scatter to intra-class scatter for the samples to provide discriminate features of the samples. Such a method may be used for classifying samples, recognizing patterns, or other tasks. Various other methods, devices, system, etc., are also disclosed.

摘要翻译： 用于提取样本的判别特征的示例性方法包括在多维空间中提供样本的数据; 基于数据，计算样本的局部相似度; 将局部相似性映射到权重; 基于映射，制定类间散布矩阵和类内散布矩阵; 并且基于矩阵，最大化样本之间的类间散射与类内散射的比率以提供样本的区别特征。 这种方法可用于分类样本，识别模式或其他任务。 还公开了各种其它方法，装置，系统等。

公开(公告)号：US07996343B2

公开(公告)日：2011-08-09

申请号：US12242421

申请日：2008-09-30

申请人： Deli Zhao ,  Zhouchen Lin ,  Xiaoou Tang

发明人： Deli Zhao ,  Zhouchen Lin ,  Xiaoou Tang

IPC分类号： G06F11/00

CPC分类号： G06K9/6234 ,  G06K9/6252

摘要： Described is using semi-Riemannian geometry in supervised learning to learn a discriminant subspace for classification, e.g., labeled samples are used to learn the geometry of a semi-Riemannian submanifold. For a given sample, the K nearest classes of that sample are determined, along with the nearest samples that are in other classes, and the nearest samples in that sample's same class. The distances between these samples are computed, and used in computing a metric matrix. The metric matrix is used to compute a projection matrix that corresponds to the discriminant subspace. In online classification, as a new sample is received, it is projected into a feature space by use of the projection matrix and classified accordingly.

摘要翻译： 描述了在监督学习中使用半黎曼几何学习学习用于分类的判别子空间，例如，标记的样本用于学习半黎曼子流形歧管的几何形状。 对于给定的样本，该样本的K个最近类别以及其他类别中最近的样本以及该样本同一类中最近的样本进行确定。 计算这些样本之间的距离，并用于计算度量矩阵。 度量矩阵用于计算与判别子空间对应的投影矩阵。 在线分类中，作为收到的新样本，通过使用投影矩阵将其投影到特征空间中并进行分类。

公开(公告)号：US07974498B2

公开(公告)日：2011-07-05

申请号：US11835625

申请日：2007-08-08

申请人： Moshe Ben-Ezra ,  Zhouchen Lin ,  Bennett Wilburn

发明人： Moshe Ben-Ezra ,  Zhouchen Lin ,  Bennett Wilburn

IPC分类号： G06K9/32

CPC分类号： H04N5/23232 ,  G06T3/4053 ,  H04N5/335

摘要： A super-resolution algorithm that explicitly and exactly models the detector pixel shape, size, location, and gaps for periodic and aperiodic tilings. The algorithm projects the low-resolution input image into high-resolution space to model the actual shapes and/or gaps of the detector pixels. By using an aperiodic pixel layout such as a Penrose tiling significant improvements in super-resolution results can be obtained. An error back-projection super-resolution algorithm makes use of the exact detector model in its back projection operator for better accuracy. Theoretically, the aperiodic detector can be based on CCD (charge-coupled device) technology, and/or more practically, CMOS (complimentary metal oxide semiconductor) technology, for example.

摘要翻译： 一种超分辨率算法，用于明确和精确地建模周期性和非周期性的检测器像素形状，大小，位置和间隙。 该算法将低分辨率输入图像投影到高分辨率空间中以对检测器像素的实际形状和/或间隙进行建模。 通过使用非周期像素布局，如彭罗斯平铺，可以获得超分辨率结果的显着改进。 误差反投影超分辨率算法利用其反投影算子中的精确检测器模型更好的精度。 理论上，非周期检测器可以基于例如CCD（电荷耦合器件）技术和/或更实际的CMOS（互补金属氧化物半导体）技术。

公开(公告)号：US07836390B2

公开(公告)日：2010-11-16

申请号：US11275750

申请日：2006-01-26

申请人： Zhouchen Lin ,  Mingqing Xu ,  Jian Wang

发明人： Zhouchen Lin ,  Mingqing Xu ,  Jian Wang

IPC分类号： G06F17/00

CPC分类号： G06F17/241

摘要： Annotation engines are described for handling annotations added to a base document. The annotation engines automatically classify the type of annotations, including, but not limited to: a highlight annotation; a blob annotation (comprising an enclosing-type annotation); an underline annotation; a vertical bracket annotation; a call-out annotation; and a free-note annotation. The annotation engines accept input in the form of a hierarchical tree of document elements and generate an output in the form of a hierarchical tree of annotation elements. Among other uses, a reflow engine can use the output of the annotation engines to properly reposition annotations within a layout-modified base document.

摘要翻译： 描述了注释引擎来处理添加到基本文档中的注释。 注释引擎自动对注释类型进行分类，包括但不限于：高亮注释; 一个blob注释（包含一个封闭类型的注释）; 下划线注释; 垂直括号注释; 一个调用注释; 和一个免费注释注释。 注释引擎以文档元素的分层树的形式接受输入，并以注释元素的分层树的形式生成输出。 除了其他用途之外，回流引擎可以使用注释引擎的输出来在布局修改的基础文档中正确地重新定位注释。