Cleaning up handwriting
    71.
    发明申请
    Cleaning up handwriting 失效
    清理笔迹

    公开(公告)号:US20070025618A1

    公开(公告)日:2007-02-01

    申请号:US11195580

    申请日:2005-08-01

    申请人: Zhouchen Lin

    发明人: Zhouchen Lin

    IPC分类号: G06K9/18

    CPC分类号: G06K9/00416

    摘要: A method and system for cleaning handwriting for redisplay of the handwriting or for improved recognition accuracy is provided. The cleanup system receives handwriting that has been digitized. The cleanup system then analyzes the handwriting to identify strokes that satisfy a cleanup criterion. When a stroke has been identified as satisfying some cleanup criteria, the cleanup system cleans up the handwriting based on the detected criteria. In this way, the cleanup system generates handwriting that may have a more visually pleasing appearance to the reader.

    摘要翻译: 提供了一种用于清除笔迹以重新显示笔迹或提高识别精度的方法和系统。 清理系统接收已经数字化的手写。 清理系统然后分析笔迹以识别满足清理标准的笔画。 当中风被确定为满足一些清理标准时,清理系统将根据检测到的标准清除手写。 以这种方式,清理系统产生可能对读者更加视觉上令人满意的外观的手写。

    Enhanced approach of m-array decoding and error correction
    72.
    发明申请
    Enhanced approach of m-array decoding and error correction 有权
    m阵列解码和纠错的增强方法

    公开(公告)号:US20050193292A1

    公开(公告)日:2005-09-01

    申请号:US10752109

    申请日:2004-01-06

    CPC分类号: G06F3/03545 G06F3/0321

    摘要: A process and apparatus for determining the location of a captured array from a larger image is described. A non-repeating sequence may be folded into a non-repeating array in which the array is unique for every neighboring window of a given size. A portion of the array of the neighboring window may be captured and a subset of extracted bits corresponding to the captured array is decoded to identify error bits. The location of the captured array is determined within the non-repeating array by further processing the decoded bits.

    摘要翻译: 描述了用于从较大图像确定捕获的阵列的位置的处理和装置。 非重复序列可以折叠成非重复阵列,其中阵列对于给定大小的每个相邻窗口是唯一的。 可以捕获相邻窗口的阵列的一部分,并且对与所捕获的阵列相对应的提取的比特的子集进行解码以识别错误比特。 通过进一步处理解码的比特,在非重复阵列内确定所捕获的阵列的位置。

    Annotation detection and anchoring on ink notes
    73.
    发明授权
    Annotation detection and anchoring on ink notes 有权
    油墨笔记上的注释检测和锚定

    公开(公告)号:US09268757B2

    公开(公告)日:2016-02-23

    申请号:US13447968

    申请日:2012-04-16

    IPC分类号: G06F17/00 G06F17/24

    CPC分类号: G06F17/242

    摘要: Systems and methods for detecting annotation digital ink strokes and further associating annotation digital ink strokes with word digital ink strokes are presented. Ink strokes are captured on a writing surface and then classified as words or annotations. Annotations are then anchored to corresponding words. When words are relocated or edited on the writing surface, the anchored annotations are also relocated and may even be reshaped according to the changes in the anchored words.

    摘要翻译: 提出了用于检测注释数字墨水笔画并进一步将注释数字墨迹与字数字笔墨相关联的系统和方法。 墨水笔画被捕获在书写表面上,然后分类为单词或注释。 然后将注释锚定到相应的词。 当在书写表面上重新定位或编辑单词时,锚定的注释也被重定位,甚至可以根据锚定单词的变化进行重新整形。

    Rectification of characters and text as transform invariant low-rank textures
    74.
    发明授权
    Rectification of characters and text as transform invariant low-rank textures 有权
    将字符和文本整理为变形不变的低阶纹理

    公开(公告)号:US08774558B2

    公开(公告)日:2014-07-08

    申请号:US13310730

    申请日:2011-12-03

    IPC分类号: G06K9/36 G06K9/32

    摘要: A “Text Rectifier” provides various techniques for processing selected regions of an image containing text or characters by treating those images as matrices of low-rank textures and using a rank minimization technique that recovers and removes image deformations (e.g., affine and projective transforms as well as general classes of nonlinear transforms) while rectifying the text or characters in the image region. Once distortions have been removed and the text or characters rectified, the resulting text is made available for a variety of uses or further processing such as optical character recognition (OCR). In various embodiments, binarization and/or inversion techniques are applied to the selected image regions during the rank minimization process to both improve text rectification and to present the resulting images of text to an OCR engine in a form that enhances the accuracy of the OCR results.

    摘要翻译: “文本整流器”提供了通过将这些图像作为低阶纹理矩阵来处理包含文本或字符的图像的所选区域的各种技术,并且使用恢复和去除图像变形的秩最小化技术(例如,仿射和投影变换为 以及非线性变换的一般类),同时整理图像区域中的文本或字符。 一旦失真被消除并且文本或者字符被纠正,所得到的文本可用于各种用途或进一步的处理,例如光学字符识别(OCR)。 在各种实施例中,在秩最小化处理期间将二值化和/或反转技术应用于所选择的图像区域,以改善文本校正,并以提高OCR结果的准确性的形式向OCR引擎呈现文本的所得图像 。

    RECTIFICATION OF CHARACTERS AND TEXT AS TRANSFORM INVARIANT LOW-RANK TEXTURES
    75.
    发明申请
    RECTIFICATION OF CHARACTERS AND TEXT AS TRANSFORM INVARIANT LOW-RANK TEXTURES 有权
    字符和文本的修正作为变换不变的低排序纹理

    公开(公告)号:US20120134588A1

    公开(公告)日:2012-05-31

    申请号:US13310730

    申请日:2011-12-03

    IPC分类号: G06K9/34

    摘要: A “Text Rectifier” provides various techniques for processing selected regions of an image containing text or characters by treating those images as matrices of low-rank textures and using a rank minimization technique that recovers and removes image deformations (e.g., affine and projective transforms as well as general classes of nonlinear transforms) while rectifying the text or characters in the image region. Once distortions have been removed and the text or characters rectified, the resulting text is made available for a variety of uses or further processing such as optical character recognition (OCR). In various embodiments, binarization and/or inversion techniques are applied to the selected image regions during the rank minimization process to both improve text rectification and to present the resulting images of text to an OCR engine in a form that enhances the accuracy of the OCR results.

    摘要翻译: “文本整流器”提供了通过将这些图像作为低阶纹理矩阵来处理包含文本或字符的图像的选定区域的各种技术,并且使用恢复和去除图像变形的秩最小化技术(例如,仿射和投影变换为 以及非线性变换的一般类),同时整理图像区域中的文本或字符。 一旦失真被消除并且文本或者字符被纠正,则所得到的文本可用于各种用途或进一步的处理,例如光学字符识别(OCR)。 在各种实施例中,在秩最小化处理期间将二值化和/或反转技术应用于所选择的图像区域,以改善文本校正,并以提高OCR结果的准确性的形式向OCR引擎呈现文本的所得图像 。

    Annotation detection and anchoring on ink notes
    76.
    发明授权
    Annotation detection and anchoring on ink notes 失效
    油墨笔记上的注释检测和锚定

    公开(公告)号:US08181103B2

    公开(公告)日:2012-05-15

    申请号:US11275398

    申请日:2005-12-29

    IPC分类号: G06F17/00

    CPC分类号: G06F17/242

    摘要: Systems and methods for detecting annotation digital ink strokes and further associating annotation digital ink strokes with word digital ink strokes are presented. Ink strokes are captured on a writing surface and then classified as words or annotations. Annotations are then anchored to corresponding words. When words are relocated or edited on the writing surface, the anchored annotations are also relocated and may even be reshaped according to the changes in the anchored words.

    摘要翻译: 提出了用于检测注释数字墨水笔画并进一步将注释数字墨迹与字数字笔墨相关联的系统和方法。 墨水笔画被捕获在书写表面上,然后分类为单词或注释。 然后将注释锚定到相应的词。 当在书写表面上重新定位或编辑单词时,锚定的注释也被重定位,甚至可以根据锚定单词的变化进行重新整形。

    LIGHT TRANSPORT RECONSTRUCTION FROM SPARSELY CAPTURED IMAGES
    77.
    发明申请
    LIGHT TRANSPORT RECONSTRUCTION FROM SPARSELY CAPTURED IMAGES 有权
    轻量运输重建从小型捕获图像

    公开(公告)号:US20110304745A1

    公开(公告)日:2011-12-15

    申请号:US12797859

    申请日:2010-06-10

    IPC分类号: H04N5/235 G06K9/40

    CPC分类号: G06T15/50

    摘要: A “Scene Re-Lighter” provides various techniques for using an automatically reconstructed light transport matrix derived from a sparse sampling of images to provide various combinations of complex light transport effects in images, including caustics, complex occlusions, inter-reflections, subsurface scattering, etc. More specifically, the Scene Re-Lighter reconstructs the light transport matrix from a relatively small number of acquired images using a “Kernel Nyström” based technique adapted for low rank matrices constructed from sparsely sampled images. A “light transport kernel” is incorporated into the Nyström method to exploit nonlinear coherence in the light transport matrix. Further, an adaptive process is used to efficiently capture the sparsely sampled images from a scene. The Scene Re-Lighter is capable of achieving good reconstruction of the light transport matrix with only few hundred images to produce high quality relighting results. Further, the Scene Re-Lighter is also effective for modeling scenes with complex lighting effects and occlusions.

    摘要翻译: “场景再打火机”提供了各种技术,用于使用从图像的稀疏采样导出的自动重建的光传输矩阵,以提供图像中复杂光传输效应的各种组合,包括焦散,复杂遮挡,相互反射,地下散射, 等等。更具体地,场景重新点亮器使用适用于由稀疏采样图像构成的低秩矩阵的基于“内核Nyström”的技术,从相对较少数量的获取图像重构光传输矩阵。 将“光传输核”纳入Nyström方法以利用光传输矩阵中的非线性相干性。 此外,使用自适应处理来有效地从场景捕获稀疏采样的图像。 场景重新打火机能够通过仅仅几百张图像实现光传输矩阵的良好重建,从而产生高品质的重视效果。 此外,场景重新打火机对于对具有复杂的照明效果和遮挡的场景进行建模也是有效的。

    Tensor linear laplacian discrimination for feature extraction
    78.
    发明授权
    Tensor linear laplacian discrimination for feature extraction 有权
    特征提取的张量线性拉普拉斯判别

    公开(公告)号:US08024152B2

    公开(公告)日:2011-09-20

    申请号:US12235927

    申请日:2008-09-23

    IPC分类号: G06F17/16 G06F17/11

    CPC分类号: G06F17/30598 G06K9/6234

    摘要: Tensor linear Laplacian discrimination for feature extraction is disclosed. One embodiment comprises generating a contextual distance based sample weight and class weight, calculating a within-class scatter using the at least one sample weight and a between-class scatter for multiple classes of data samples in a sample set using the class weight, performing a mode-k matrix unfolding on scatters and generating at least one orthogonal projection matrix.

    摘要翻译: 公开了用于特征提取的张量线性拉普拉斯判别。 一个实施例包括生成基于上下文距离的样本权重和类权重,使用所述至少一个样本权重来计算类内散度,以及使用类权重在样本集合中的多类数据样本之间进行类间散射,执行 mode-k矩阵在散射上展开并生成至少一个正交投影矩阵。

    HYBRID GRAPH MODEL FOR UNSUPERVISED OBJECT SEGMENTATION
    79.
    发明申请
    HYBRID GRAPH MODEL FOR UNSUPERVISED OBJECT SEGMENTATION 有权
    用于不间断对象分类的混合图形模型

    公开(公告)号:US20110206276A1

    公开(公告)日:2011-08-25

    申请号:US13100891

    申请日:2011-05-04

    IPC分类号: G06K9/34

    摘要: This disclosure describes an integrated framework for class-unsupervised object segmentation. The class-unsupervised object segmentation occurs by integrating top-down constraints and bottom-up constraints on object shapes using an algorithm in an integrated manner. The algorithm describes a relationship among object parts and superpixels. This process forms object shapes with object parts and oversegments pixel images into the superpixels, with the algorithm in conjunction with the constraints. This disclosure describes computing a mask map from a hybrid graph, segmenting the image into a foreground object and a background, and displaying the foreground object from the background.

    摘要翻译: 本公开描述了用于无人监督的对象分割的集成框架。 通过以集成的方式使用算法将自上而下的约束和自下而上的对象形状约束集成在一起,进行类无监督对象分割。 该算法描述了对象部分和超像素之间的关系。 该过程通过对象部分形成对象形状,并将像素图像监视到超像素中,该算法与约束相结合。 本公开描述了从混合图计算掩模图,将图像分割成前景对象和背景,以及从背景显示前景对象。

    Method for modeling data structures by creating digraphs through contexual distances
    80.
    发明授权
    Method for modeling data structures by creating digraphs through contexual distances 有权
    通过连续距离创建二维图来建立数据结构的方法

    公开(公告)号:US07970727B2

    公开(公告)日:2011-06-28

    申请号:US12032705

    申请日:2008-02-18

    IPC分类号: G06F17/10

    CPC分类号: G06K9/6248

    摘要: A method for modeling data affinities and data structures. In one implementation, a contextual distance may be calculated between a selected data point in a data sample and a data point in a contextual set of the selected data point. The contextual set may include the selected data point and one or more data points in the neighborhood of the selected data point. The contextual distance may be the difference between the selected data point's contribution to the integrity of the geometric structure of the contextual set and the data point's contribution to the integrity of the geometric structure of the contextual set. The process may be repeated for each data point in the contextual set of the selected data point. The process may be repeated for each selected data point in the data sample. A digraph may be created using a plurality of contextual distances generated by the process.

    摘要翻译: 一种用于建模数据亲和度和数据结构的方法。 在一个实现中,可以在数据样本中的所选数据点和所选数据点的上下文集合中的数据点之间计算上下文距离。 所述上下文集合可以包括所选数据点和所选数据点附近的一个或多个数据点。 上下文距离可以是所选数据点对上下文集合的几何结构的完整性的贡献与数据点对上下文集合的几何结构的完整性的贡献之间的差异。 可以对所选数据点的上下文集合中的每个数据点重复该过程。 可以对数据样本中的每个选定的数据点重复该过程。 可以使用由该过程生成的多个上下文距离来创建有向图。