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    Rendering personalized text on curved image surfaces
    3.
    发明授权
    Rendering personalized text on curved image surfaces 有权
    在曲面图像表面上呈现个性化文字

    公开(公告)号：US08619074B2

    公开(公告)日：2013-12-31

    申请号：US12964820

    申请日：2010-12-10

    申请人： Raja Bala ,  Zhigang Fan ,  Reiner Eschbach ,  Hengzhou Ding ,  Jan P. Allebach ,  Charles A. Bouman

    发明人： Raja Bala ,  Zhigang Fan ,  Reiner Eschbach ,  Hengzhou Ding ,  Jan P. Allebach ,  Charles A. Bouman

    IPC分类号： G06T15/00

    CPC分类号： G06T11/60 ,  G06T15/04 ,  G06T19/00

    摘要： As set forth herein, a computer-implemented method facilitates replacing text on cylindrical or curved surfaces in images. For instance, the user is first asked to perform a multi-click selection of a polygon to bound the text. A triangulation scheme is carried out to identify the pixels. Segmentation and erasing algorithms are then applied. The ellipses are estimated accurately through constrained least squares fitting. A 3D framework for rendering the text, including the central projection pinhole camera model and specification of the cylindrical object, is generated. These parameters are jointly estimated from the fitted ellipses as well as the two vertical edges of the cylinder. The personalized text is wrapped around the cylinder and subsequently rendered.

    摘要翻译： 如本文所述，计算机实现的方法有助于在图像中的圆柱形或弯曲表面上替换文本。 例如，首先要求用户执行多边形的多点选择以绑定文本。 进行三角测量方案来识别像素。 然后应用分割和擦除算法。 通过约束最小二乘拟合精确估计椭圆。 生成用于呈现文本的3D框架，包括中心投影针孔相机模型和圆柱形对象的规格。 这些参数是从安装的椭圆以及气缸的两个垂直边缘共同估计的。 个性化文字包裹在圆柱体上并随后呈现。

    RENDERING PERSONALIZED TEXT ON CURVED IMAGE SURFACES
    4.
    发明申请
    RENDERING PERSONALIZED TEXT ON CURVED IMAGE SURFACES 有权
    渲染个性化的文字在弯曲的图像表面

    公开(公告)号：US20120146991A1

    公开(公告)日：2012-06-14

    申请号：US12964820

    申请日：2010-12-10

    申请人： Raja Bala ,  Zhigang Fan ,  Reiner Eschbach ,  Hengzhou Ding ,  Jan P. Allebach ,  Charles A. Bouman

    发明人： Raja Bala ,  Zhigang Fan ,  Reiner Eschbach ,  Hengzhou Ding ,  Jan P. Allebach ,  Charles A. Bouman

    IPC分类号： G06T15/00

    CPC分类号： G06T11/60 ,  G06T15/04 ,  G06T19/00

    摘要： As set forth herein, a computer-implemented method facilitates replacing text on cylindrical or curved surfaces in images. For instance, the user is first asked to perform a multi-click selection of a polygon to bound the text. A triangulation scheme is carried out to identify the pixels. Segmentation and erasing algorithms are then applied. The ellipses are estimated accurately through constrained least squares fitting. A 3D framework for rendering the text, including the central projection pinhole camera model and specification of the cylindrical object, is generated. These parameters are jointly estimated from the fitted ellipses as well as the two vertical edges of the cylinder. The personalized text is wrapped around the cylinder and subsequently rendered.

    摘要翻译： 如本文所述，计算机实现的方法有助于在图像中的圆柱形或弯曲表面上替换文本。 例如，首先要求用户执行多边形的多点选择以绑定文本。 进行三角测量方案来识别像素。 然后应用分割和擦除算法。 通过约束最小二乘拟合精确估计椭圆。 生成用于呈现文本的3D框架，包括中心投影针孔相机模型和圆柱形对象的规格。 这些参数是从安装的椭圆以及气缸的两个垂直边缘共同估计的。 个性化文字包裹在圆柱体上并随后呈现。

    Methods and system for analyzing and rating images for personalization
    5.
    发明授权
    Methods and system for analyzing and rating images for personalization 有权
    用于个性化分析和评估图像的方法和系统

    公开(公告)号：US09042640B2

    公开(公告)日：2015-05-26

    申请号：US13349751

    申请日：2012-01-13

    申请人： Raja Bala ,  Zhigang Fan ,  Hengzhou Ding ,  Jan P. Allebach ,  Charles A. Bouman ,  Reuven J. Sherwin

    发明人： Raja Bala ,  Zhigang Fan ,  Hengzhou Ding ,  Jan P. Allebach ,  Charles A. Bouman ,  Reuven J. Sherwin

    IPC分类号： G06K9/62 ,  G06K9/00 ,  G06K9/32

    CPC分类号： G06K9/00671 ,  G06K9/3258

    摘要： As set forth herein, a computer-implemented method facilitates pre-analyzing an image and automatically suggesting to the user the most suitable regions within an image for text-based personalization. Image regions that are spatially smooth and regions with existing text (e.g. signage, banners, etc.) are primary candidates for personalization. This gives rise to two sets of corresponding algorithms: one for identifying smooth areas, and one for locating text regions. Smooth regions are found by dividing the image into blocks and applying an iterative combining strategy, and those regions satisfying certain spatial properties (e.g. size, position, shape of the boundary) are retained as promising candidates. In one embodiment, connected component analysis is performed on the image for locating text regions. Finally, based on the smooth and text regions found in the image, several alternative approaches are described herein to derive an overall metric for “suitability for personalization.”

    摘要翻译： 如本文所述，计算机实现的方法有助于预分析图像并且自动地向用户建议图像内的最合适的区域用于基于文本的个性化。 具有空间平滑的图像区域和具有现有文本的区域（例如标牌，横幅等）是用于个性化的主要候选者。 这产生了两组相应的算法：一种用于识别平滑区域，一种用于定位文本区域。 通过将图像划分成块并应用迭代组合策略来找到平滑区域，并且满足某些空间属性（例如，边界的大小，位置，形状）的那些区域被保留为有希望的候选者。 在一个实施例中，对用于定位文本区域的图像执行连接分量分析。 最后，基于图像中发现的平滑和文本区域，本文描述了几种替代方法，以得出“适合个性化”的总体度量。

    FINDING TEXT IN NATURAL SCENES
    6.
    发明申请
    FINDING TEXT IN NATURAL SCENES 有权
    在自然景观中寻找文字

    公开(公告)号：US20130330004A1

    公开(公告)日：2013-12-12

    申请号：US13494173

    申请日：2012-06-12

    申请人： Raja Bala ,  Zhigang Fan ,  Hengzhou Ding ,  Jan P. Allebach ,  Charles A. Bouman

    发明人： Raja Bala ,  Zhigang Fan ,  Hengzhou Ding ,  Jan P. Allebach ,  Charles A. Bouman

    IPC分类号： G06K9/18 ,  G06K9/34

    CPC分类号： G06K9/4604 ,  G06K9/3258 ,  G06K9/4638 ,  G06K2209/01 ,  G06T7/13 ,  G06T7/181 ,  G06T2207/10004

    摘要： As set forth herein, systems and methods facilitate providing an efficient edge-detection and closed-contour based approach for finding text in natural scenes such as photographic images, digital, and/or electronic images, and the like. Edge information (e.g., edges of structures or objects in the images) is obtained via an edge detection technique. Edges from text characters form closed contours even in the presence of reasonable levels of noise. Closed contour linking and candidate text line formation are two additional features of the described approach. A candidate text line classifier is applied to further screen out false-positive text identifications. Candidate text regions for placement of text in the natural scene of the electronic image are highlighted and presented to a user.

    摘要翻译： 如本文所述，系统和方法有助于提供有效的边缘检测和基于闭合轮廓的方法，用于在诸如照相图像，数字和/或电子图像等的自然场景中查找文本。 通过边缘检测技术获得边缘信息（例如，图像中的结构或对象的边缘）。 即使存在合理的噪声水平，文本字符的边缘也会形成封闭的轮廓。 闭合轮廓链接和候选文本线形成是所述方法的两个附加特征。 应用候选文本行分类器进一步筛选出假阳性文本标识。 用于在电子图像的自然场景中放置文本的候选文本区域被突出显示并呈现给用户。

    METHODS AND SYSTEM FOR ANALYZING AND RATING IMAGES FOR PERSONALIZATION
    7.
    发明申请
    METHODS AND SYSTEM FOR ANALYZING AND RATING IMAGES FOR PERSONALIZATION 有权
    用于分析和评估个性化图像的方法和系统

    公开(公告)号：US20130182946A1

    公开(公告)日：2013-07-18

    申请号：US13349751

    申请日：2012-01-13

    申请人： Raja Bala ,  Zhigang Fan ,  Hengzhou Ding ,  Jan P. Allebach ,  Charles A. Bouman ,  Reuven J. Sherwin

    发明人： Raja Bala ,  Zhigang Fan ,  Hengzhou Ding ,  Jan P. Allebach ,  Charles A. Bouman ,  Reuven J. Sherwin

    IPC分类号： G06K9/46 ,  G06K9/62

    CPC分类号： G06K9/00671 ,  G06K9/3258

    摘要： As set forth herein, a computer-implemented method facilitates pre-analyzing an image and automatically suggesting to the user the most suitable regions within an image for text-based personalization. Image regions that are spatially smooth and regions with existing text (e.g. signage, banners, etc.) are primary candidates for personalization. This gives rise to two sets of corresponding algorithms: one for identifying smooth areas, and one for locating text regions. Smooth regions are found by dividing the image into blocks and applying an iterative combining strategy, and those regions satisfying certain spatial properties (e.g. size, position, shape of the boundary) are retained as promising candidates. In one embodiment, connected component analysis is performed on the image for locating text regions. Finally, based on the smooth and text regions found in the image, several alternative approaches are described herein to derive an overall metric for “suitability for personalization.”

    摘要翻译： 如本文所述，计算机实现的方法有助于预分析图像并且自动地向用户建议图像内的最合适的区域用于基于文本的个性化。 具有空间平滑的图像区域和具有现有文本的区域（例如标牌，横幅等）是用于个性化的主要候选者。 这产生了两组相应的算法：一种用于识别平滑区域，一种用于定位文本区域。 通过将图像划分成块并应用迭代组合策略来找到平滑区域，并且满足某些空间属性（例如，边界的大小，位置，形状）的那些区域被保留为有希望的候选者。 在一个实施例中，对用于定位文本区域的图像执行连接分量分析。 最后，基于图像中发现的平滑和文本区域，本文描述了几种替代方法，以得出“适合个性化”的总体度量。

    Finding text in natural scenes
    8.
    发明授权
    Finding text in natural scenes 有权
    在自然场景中寻找文字

    公开(公告)号：US08837830B2

    公开(公告)日：2014-09-16

    申请号：US13494173

    申请日：2012-06-12

    申请人： Raja Bala ,  Zhigang Fan ,  Hengzhou Ding ,  Jan P. Allebach ,  Charles A. Bouman

    发明人： Raja Bala ,  Zhigang Fan ,  Hengzhou Ding ,  Jan P. Allebach ,  Charles A. Bouman

    IPC分类号： G06K9/34

    CPC分类号： G06K9/4604 ,  G06K9/3258 ,  G06K9/4638 ,  G06K2209/01 ,  G06T7/13 ,  G06T7/181 ,  G06T2207/10004

    摘要： As set forth herein, systems and methods facilitate providing an efficient edge-detection and closed-contour based approach for finding text in natural scenes such as photographic images, digital, and/or electronic images, and the like. Edge information (e.g., edges of structures or objects in the images) is obtained via an edge detection technique. Edges from text characters form closed contours even in the presence of reasonable levels of noise. Closed contour linking and candidate text line formation are two additional features of the described approach. A candidate text line classifier is applied to further screen out false-positive text identifications. Candidate text regions for placement of text in the natural scene of the electronic image are highlighted and presented to a user.

    摘要翻译： 如本文所述，系统和方法有助于提供有效的边缘检测和基于闭合轮廓的方法，用于在诸如照相图像，数字和/或电子图像等的自然场景中查找文本。 通过边缘检测技术获得边缘信息（例如，图像中的结构或对象的边缘）。 即使存在合理的噪声水平，文本字符的边缘也会形成封闭的轮廓。 闭合轮廓链接和候选文本线形成是所述方法的两个附加特征。 应用候选文本行分类器进一步筛选出假阳性文本标识。 用于在电子图像的自然场景中放置文本的候选文本区域被突出显示并呈现给用户。