公开(公告)号：US20070196027A1

公开(公告)日：2007-08-23

申请号：US11276196

申请日：2006-02-17

申请人： Zhouchen Lin ,  Liang Wan ,  Wei Feng ,  Tien-Tsin Wong ,  Zhi-Qiang Liu

发明人： Zhouchen Lin ,  Liang Wan ,  Wei Feng ,  Tien-Tsin Wong ,  Zhi-Qiang Liu

IPC分类号： G06K9/40

CPC分类号： G06T3/40 ,  G06T2207/20008

摘要： Systems and methods for perceptual image preview are described. In one aspect, a naive preview image is generated by downsampling a larger image. Perceptual features of the larger image are then detected. Information associated with the detected perceptual features is then incorporated into the naive preview image to create a perceptual preview image. Since the perceptual preview image incorporates information associated with the detected perceptual features, a viewer of the perceptual preview image will be more likely to detect the presence or absence of such perceptual features in the larger image.

摘要翻译： 描述了感知图像预览的系统和方法。 在一个方面，通过对较大图像进行下采样来生成幼稚的预览图像。 然后检测较大图像的感知特征。 然后将与检测到的感知特征相关联的信息并入到初始预览图像中以创建感知预览图像。 由于感知预览图像包含与检测到的感知特征相关联的信息，感知预览图像的观看者将更可能检测更大图像中这种感知特征的存在或不存在。

公开(公告)号：US07715657B2

公开(公告)日：2010-05-11

申请号：US11276196

申请日：2006-02-17

申请人： Zhouchen Lin ,  Liang Wan ,  Wei Feng ,  Tien-Tsin Wong ,  Zhi-Qiang Liu

发明人： Zhouchen Lin ,  Liang Wan ,  Wei Feng ,  Tien-Tsin Wong ,  Zhi-Qiang Liu

IPC分类号： G06K9/32 ,  G06K9/36 ,  G06K9/40 ,  G06F3/048

CPC分类号： G06T3/40 ,  G06T2207/20008

摘要： Systems and methods for perceptual image preview are described. In one aspect, a naïve preview image is generated by downsampling a larger image. Perceptual features of the larger image are then detected. Information associated with the detected perceptual features is then incorporated into the naïve preview image to create a perceptual preview image. Since the perceptual preview image incorporates information associated with the detected perceptual features, a viewer of the perceptual preview image will be more likely to detect the presence or absence of such perceptual features in the larger image.

摘要翻译： 描述了感知图像预览的系统和方法。 在一个方面，通过对更大的图像进行下采样来生成天真的预览图像。 然后检测较大图像的感知特征。 与检测到的感知特征相关联的信息然后被合并到初始预览图像中以创建感知预览图像。 由于感知预览图像包含与检测到的感知特征相关联的信息，感知预览图像的观看者将更可能检测更大图像中这种感知特征的存在或不存在。

公开(公告)号：US07657094B2

公开(公告)日：2010-02-02

申请号：US11321493

申请日：2005-12-29

申请人： Zhouchen Lin ,  Liang Wan ,  Chun-Hui Hu ,  Jian Wang

发明人： Zhouchen Lin ,  Liang Wan ,  Chun-Hui Hu ,  Jian Wang

IPC分类号： G06K9/00

CPC分类号： G06K9/42 ,  G06K9/00416 ,  G06K2209/01

摘要： Methods and systems for converting text into natural personal handwriting are provided. One aspect relates to the training of a computer to recognize a user's handwriting style. In one embodiment, the computer receives handwriting samples of at least one character written by the user, such as the character being provided as the beginning, middle, or ending character among a plurality of other characters. Further embodiments allow for increased personalization of the handwriting. Another aspect relates to system and methods for displaying a representation of a computer user's handwriting. In one embodiment, the handwriting comprises variant shapes of letters, personalized connection style between letters, and connection parts that look pressure-sensitive. In another embodiment, characters are adjusted, such as cutting portions of the character to create a more realistic recreation and synthesis of the handwriting.

摘要翻译： 提供了将文本转换为自然人手写的方法和系统。 一方面涉及计算机的训练以识别用户的手写风格。 在一个实施例中，计算机接收由用户写入的至少一个字符的笔迹样本，诸如被提供为多个其他字符中的开始，中间或结束字符的字符。 进一步的实施例允许增加笔迹的个性化。 另一方面涉及用于显示计算机用户手写表示的系统和方法。 在一个实施例中，笔迹包括字母的变形形状，字母之间的个性化连接样式以及看起来对压力敏感的连接部分。 在另一个实施例中，字符被调整，例如切割角色的部分以创建更实际的娱乐和手写的合成。

公开(公告)号：US20070154094A1

公开(公告)日：2007-07-05

申请号：US11321493

申请日：2005-12-29

申请人： Zhouchen Lin ,  Liang Wan ,  Chun-Hui Hu ,  Jian Wang

发明人： Zhouchen Lin ,  Liang Wan ,  Chun-Hui Hu ,  Jian Wang

IPC分类号： G06K9/00 ,  G06K9/18

CPC分类号： G06K9/42 ,  G06K9/00416 ,  G06K2209/01

摘要： Methods and systems for converting text into natural personal handwriting are provided. One aspect relates to the training of a computer to recognize a user's handwriting style. In one embodiment, the computer receives handwriting samples of at least one character written by the user, such as the character being provided as the beginning, middle, or ending character among a plurality of other characters. Further embodiments allow for increased personalization of the handwriting. Another aspect relates to system and methods for displaying a representation of a computer user's handwriting. In one embodiment, the handwriting comprises variant shapes of letters, personalized connection style between letters, and connection parts that look pressure-sensitive. In another embodiment, characters are adjusted, such as cutting portions of the character to create a more realistic recreation and synthesis of the handwriting.

摘要翻译： 提供了将文本转换为自然人手写的方法和系统。 一方面涉及计算机的训练以识别用户的手写风格。 在一个实施例中，计算机接收由用户写入的至少一个字符的笔迹样本，诸如被提供为多个其他字符中的开始，中间或结束字符的字符。 进一步的实施例允许增加笔迹的个性化。 另一方面涉及用于显示计算机用户手写表示的系统和方法。 在一个实施例中，笔迹包括字母的变形形状，字母之间的个性化连接样式以及看起来对压力敏感的连接部分。 在另一个实施例中，字符被调整，例如切割角色的部分以创建更实际的娱乐和手写的合成。

公开(公告)号：US20070154071A1

公开(公告)日：2007-07-05

申请号：US11321232

申请日：2005-12-29

申请人： Zhouchen Lin ,  Liang Wan ,  Bin Wan

发明人： Zhouchen Lin ,  Liang Wan ,  Bin Wan

IPC分类号： G06K9/00

CPC分类号： G06K9/00181

摘要： Methods and systems for training a computer to recognize and verify an individual's signature are provided. One illustrative method extracts a plurality of both global and local features from a relatively small sample of handwriting samples. In one such embodiment, only 5 samples are needed from an individual without requiring forgeries. In yet another embodiment, only three global parameters are utilized, thus reducing the complexity, and processing power, of the system. Utilizing such few global parameters also facilitates fine tuning of the systems. Further aspects of the invention relate to a multi-stage statistical system for on-line signature verification. In one embodiment, the system may comprise a simplified GMM model built on global signature properties and a left-to-right HMM model based on segmental features. In one embodiment, specific strategies are utilized to create model simplification and initialization in contrast to general GMM and HMM models.

摘要翻译： 提供了用于训练计算机以识别和验证个人签名的方法和系统。 一个说明性方法从相对较小的笔迹样本样本中提取多个全局和局部特征。 在一个这样的实施例中，仅需要5个样本，而不需要伪造。 在另一个实施例中，仅使用三个全局参数，从而降低系统的复杂性和处理能力。 利用这么少的全局参数也有助于系统的微调。 本发明的其它方面涉及用于在线签名验证的多阶段统计系统。 在一个实施例中，系统可以包括基于全局签名特性的简化GMM模型和基于段特征的从左到右HMM模型。 在一个实施例中，与通用GMM和HMM模型相反，具体策略被用于创建模型简化和初始化。

公开(公告)号：US07529391B2

公开(公告)日：2009-05-05

申请号：US11321232

申请日：2005-12-29

申请人： Zhouchen Lin ,  Liang Wan ,  Bin Wan

发明人： Zhouchen Lin ,  Liang Wan ,  Bin Wan

IPC分类号： G06K9/00 ,  G06K9/46

CPC分类号： G06K9/00181

摘要： Methods and systems for training a computer to recognize and verify an individual's signature are provided. One illustrative method extracts a plurality of both global and local features from a relatively small sample of handwriting samples. In one such embodiment, only 5 samples are needed from an individual without requiring forgeries. In yet another embodiment, only three global parameters are utilized, thus reducing the complexity, and processing power, of the system. Utilizing such few global parameters also facilitates fine tuning of the systems. Further aspects of the invention relate to a multi-stage statistical system for on-line signature verification. In one embodiment, the system may comprise a simplified GMM model built on global signature properties and a left-to-right HMM model based on segmental features. In one embodiment, specific strategies are utilized to create model simplification and initialization in contrast to general GMM and HMM models.

摘要翻译： 提供了用于训练计算机以识别和验证个人签名的方法和系统。 一个说明性方法从相对较小的笔迹样本样本中提取多个全局和局部特征。 在一个这样的实施例中，仅需要5个样本，而不需要伪造。 在另一个实施例中，仅使用三个全局参数，从而降低系统的复杂性和处理能力。 利用这么少的全局参数也有助于系统的微调。 本发明的其它方面涉及用于在线签名验证的多阶段统计系统。 在一个实施例中，系统可以包括基于全局签名特性的简化GMM模型和基于段特征的从左到右HMM模型。 在一个实施例中，与通用GMM和HMM模型相反，具体策略被用于创建模型简化和初始化。

公开(公告)号：US20100262643A1

公开(公告)日：2010-10-14

申请号：US12422315

申请日：2009-04-13

申请人： Xu Yang ,  Zhouchen Lin ,  Sijun Liu ,  Tianjun Ye ,  Dongmei Zhang

发明人： Xu Yang ,  Zhouchen Lin ,  Sijun Liu ,  Tianjun Ye ,  Dongmei Zhang

IPC分类号： G06F7/38 ,  G06F7/552

CPC分类号： G06F7/724 ,  G06F7/12 ,  G06F7/16

摘要： Described is a technology, such as implemented in a computational software program, by which a minimal polynomial is efficiently determined for a radical expression over the ring Z of integer numbers or the ring Q of rational numbers. The levels of the radical are grouped into a level permutation group that is used to find a level permutation set. An annihilation polynomial is found based upon the level permutation set. The annihilation polynomial is factored, and a selection mechanism selects the minimal polynomial based upon the annihilation polynomial's factors.

摘要翻译： 描述了一种技术，例如在计算软件程序中实现的技术，通过该技术，对于整数的环Z或有理数的环Q，对于根基表达式有效地确定最小多项式。 激进的级别被分组成用于找到级别置换集合的级别置换组。 湮没多项式是基于层次排列集合找到的。 湮灭多项式被考虑，选择机制根据湮灭多项式的因素选择最小多项式。

公开(公告)号：US20100080450A1

公开(公告)日：2010-04-01

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： G06K9/62

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：US20090297046A1

公开(公告)日：2009-12-03

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

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：US07593572B2

公开(公告)日：2009-09-22

申请号：US11315635

申请日：2006-02-09

申请人： Zhouchen Lin ,  Yantao Li ,  Yu Zou ,  Xianfang Wang ,  Jian Wang

发明人： Zhouchen Lin ,  Yantao Li ,  Yu Zou ,  Xianfang Wang ,  Jian Wang

IPC分类号： G06K9/00

CPC分类号： G06K9/00402 ,  G06K9/6277

摘要： Ink-parser-parameter optimization may be performed via parallel processing to accelerate searching for a set of optimal ink-parser parameters. Evaluators may parse pages of ink notes with different groups of parameters and may compute corresponding values for evaluation functions. Separate evaluation functions may be defined for the following types of ink-parker parsing engines: writing parser, writing/drawing classification, table detection, and list detection. A searcher may perform a grid-searching algorithm or a genetic algorithm to generate groups of parameters and may then pass the parameters to available evaluators for evaluation until evaluation-function values for a group of parameters satisfy a convergence condition.

摘要翻译： 墨水分析器参数优化可以通过并行处理来执行，以加速搜索一组最佳墨水解析器参数。 评估者可以用不同的参数组解析墨迹的页面，并可以计算评估函数的相应值。 可以为以下类型的墨水 - 停顿解析引擎定义单独的评估功能：写入解析器，写入/绘图分类，表格检测和列表检测。 搜索者可以执行网格搜索算法或遗传算法来生成参数组，然后可以将参数传递给可用的评估者进行评估，直到一组参数的评估函数值满足收敛条件为止。