High quality anti-aliasing
    31.
    发明授权
    High quality anti-aliasing 有权
    高质量抗锯齿

    公开(公告)号:US07274831B2

    公开(公告)日:2007-09-25

    申请号:US10406517

    申请日:2003-04-03

    IPC分类号: G06K9/64

    CPC分类号: G06T11/203

    摘要: An antialiasing method and apparatus suitable for antialiasing a variety of image types, including fonts, large images, and very small images. The antialiasing technique may represent the edge of a line, curve or region as a series of line segments. These line segments are then traversed to convolute the line segment approximating the contours of the image with a desired filter function. A filter function is also disclosed for antialiasing the edges of a line, curve or region, which may be employed when the edge is represented by a series of line segments. The antialiasing filter tends to centers the spectral energy of an image on the sampled area.

    摘要翻译: 适用于抗锯齿的各种图像类型的抗混叠方法和装置,包括字体,大图像和非常小的图像。 抗锯齿技术可以表示作为一系列线段的线,曲线或区域的边缘。 然后遍历这些线段以使具有期望的滤波函数近似于图像轮廓的线段卷积。 还公开了一种滤波器功能,用于抗锯齿线,曲线或区域的边缘,当边缘由一系列线段表示时可以采用。 抗混叠滤波器倾向于将图像的频谱能量集中在采样区域上。

    Embedded method for embedded interaction code array
    32.
    发明申请
    Embedded method for embedded interaction code array 审中-公开
    嵌入式交互代码数组的嵌入式方法

    公开(公告)号:US20060242562A1

    公开(公告)日:2006-10-26

    申请号:US11112831

    申请日:2005-04-22

    IPC分类号: G06F17/00

    CPC分类号: G06F3/0321

    摘要: Embodiments of the invention configure and analyze an embedded interaction code (EIC) array of an EIC document. An EIC font, having a selected geometric shape, is configured so that a generated EIC symbol encodes EIC data. The EIC font is configured with at least one orientation dot so that a captured image can be properly orientated. An EIC document system is configured to support a desired address space of an EIC array, a desired decoding performance, and a desired level of readability of an EIC document. An EIC font is configured to include a plurality of data dots along an edge. The selection of the EIC font takes into consideration a number of dimensions and the order of a constituent m-array, which is associated with one of the dimensions. An EIC font may be configured with at least one clock dot to support segmenting EIC symbols in the captured image.

    摘要翻译: 本发明的实施例配置和分析EIC文档的嵌入式交互码(EIC)阵列。 具有选定几何形状的EIC字体被配置为使得所生成的EIC符号对EIC数据进行编码。 EIC字体配置有至少一个方向点,以便捕获的图像可以正确定向。 EIC文档系统被配置为支持EIC阵列的期望的地址空间,期望的解码性能以及期望的EIC文档的可读性水平。 EIC字体被配置为沿边缘包括多个数据点。 EIC字体的选择考虑了与尺寸之一相关联的成分m阵列的数量和尺寸。 EIC字体可以配置有至少一个时钟点,以支持在捕获的图像中分割EIC符号。

    Computing minimal polynomials
    33.
    发明授权
    Computing minimal polynomials 有权
    计算最小多项式

    公开(公告)号:US09122563B2

    公开(公告)日:2015-09-01

    申请号:US12422315

    申请日:2009-04-13

    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。

    Modeling and rendering of heterogeneous translucent materials using the diffusion equation
    34.
    发明授权
    Modeling and rendering of heterogeneous translucent materials using the diffusion equation 有权
    使用扩散方程建模和渲染异质半透明材料

    公开(公告)号:US08243071B2

    公开(公告)日:2012-08-14

    申请号:US12072925

    申请日:2008-02-29

    IPC分类号: G06T15/00 G06T15/60 G06K9/00

    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。

    Hybrid graph model for unsupervised object segmentation
    35.
    发明授权
    Hybrid graph model for unsupervised object segmentation 有权
    用于无监督对象分割的混合图模型

    公开(公告)号:US08238660B2

    公开(公告)日:2012-08-07

    申请号:US13100891

    申请日:2011-05-04

    IPC分类号: G06K9/34 G06K9/46 G06K9/66

    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。

    Hybrid graph model for unsupervised object segmentation
    36.
    发明授权
    Hybrid graph model for unsupervised object segmentation 有权
    用于无监督对象分割的混合图模型

    公开(公告)号:US07995841B2

    公开(公告)日:2011-08-09

    申请号:US11860428

    申请日:2007-09-24

    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。

    Fast error-correcting of embedded interaction codes
    37.
    发明授权
    Fast error-correcting of embedded interaction codes 有权
    快速纠错嵌入式互动代码

    公开(公告)号:US07729539B2

    公开(公告)日:2010-06-01

    申请号:US11142844

    申请日:2005-05-31

    IPC分类号: G06K9/00 G06T7/00

    摘要: A fast decoding technique for decoding a position of a bit in a pattern provided on a media surface that can generate large amounts of solution candidates quickly by switching or flipping bits and utilizing a recursion scheme. The fast decoding technique may be employed to simultaneously decode multiple dimensions of a pattern on the media surface.

    摘要翻译: 一种快速解码技术,用于通过切换或翻转位并利用递归方案来解码设置在媒体表面上的图案中的位的位置,其可以快速生成大量的解决方案候选。 可以采用快速解码技术来同时解码介质表面上的图案的多个维度。

    LEARNING-BASED PARTIAL DIFFERENTIAL EQUATIONS FOR COMPUTER VISION
    38.
    发明申请
    LEARNING-BASED PARTIAL DIFFERENTIAL EQUATIONS FOR COMPUTER VISION 审中-公开
    用于计算机视觉的基于学习的部分差分方程

    公开(公告)号:US20100074551A1

    公开(公告)日:2010-03-25

    申请号:US12235488

    申请日:2008-09-22

    IPC分类号: G06K9/40

    摘要: Partial differential equations (PDEs) are used in the invention for various problems in computer the vision space. The present invention provides a framework for learning a system of PDEs from real data to accomplish a specific vision task. In one embodiment, the system consists of two PDEs. One controls the evolution of the output. The other is for an indicator function that helps collect global information. Both PDEs are coupled equations between the output image and the indicator function, up to their second order partial derivatives. The way they are coupled is suggested by the shift and rotational invariance that the PDEs should hold. The coupling coefficients are learnt from real data via an optimal control technique. The invention provides learning-based PDEs that make a unified framework for handling different vision tasks, such as edge detection, denoising, segementation, and object detection.

    摘要翻译: 局部微分方程(PDE)用于本发明的计算机视觉空间中的各种问题。 本发明提供了一种用于从实际数据学习PDE系统以完成特定视觉任务的框架。 在一个实施例中,系统由两个PDE组成。 一个控制输出的演变。 另一个是用于帮助收集全球信息的指标功能。 两个PDE是输出图像和指示符函数之间的耦合方程,直到它们的二阶偏导数。 它们耦合的方式是由PDE应该保持的移动和旋转不变性来提出的。 通过最优控制技术从实数数据中学习耦合系数。 本发明提供了基于学习的PDE,其构成用于处理不同视觉任务的统一框架,例如边缘检测,去噪,分割和对象检测。

    GLOBALLY INVARIANT RADON FEATURE TRANSFORMS FOR TEXTURE CLASSIFICATION
    39.
    发明申请
    GLOBALLY INVARIANT RADON FEATURE TRANSFORMS FOR TEXTURE CLASSIFICATION 审中-公开
    用于纹理分类的全局不变RADON特征变换

    公开(公告)号:US20100067799A1

    公开(公告)日:2010-03-18

    申请号:US12212222

    申请日:2008-09-17

    IPC分类号: G06K9/46

    CPC分类号: G06K9/4647

    摘要: A “globally invariant Radon feature transform,” or “GIRFT,” generates feature descriptors that are both globally affine invariant and illumination invariant. These feature descriptors effectively handle intra-class variations resulting from geometric transformations and illumination changes to provide robust texture classification. In general, GIRFT considers images globally to extract global features that are less sensitive to large variations of material in local regions. Geometric affine transformation invariance and illumination invariance is achieved by converting original pixel represented images into Radon-pixel images by using a Radon Transform. Canonical projection of the Radon-pixel image into a quotient space is then performed using Radon-pixel pairs to produce affine invariant feature descriptors. Illumination invariance of the resulting feature descriptors is then achieved by defining an illumination invariant distance metric on the feature space of each feature descriptor.

    摘要翻译: “全局不变的氡特征变换”或“GIRFT”产生全局仿射不变和照明不变的特征描述符。 这些特征描述符有效地处理由几何变换和照明变化产生的类内变化,以提供鲁棒的纹理分类。 一般来说,GIRFT在全球范围内考虑图像,以提取对本地区域的大量材料较不敏感的全局特征。 通过使用Radon变换将原始像素表示的图像转换为氡像素图像来实现几何仿射变换不变性和照度不变性。 然后使用氡 - 像素对执行氡像素图像到商空间的规范投影,以产生仿射不变特征描述符。 然后通过在每个特征描述符的特征空间上定义照明不变距离度量来实现所得特征描述符的照明不变性。

    Analyzing scripts and determining characters in expression recognition
    40.
    发明授权
    Analyzing scripts and determining characters in expression recognition 有权
    分析脚本并确定表达式识别中的字符

    公开(公告)号:US07561739B2

    公开(公告)日:2009-07-14

    申请号:US11155748

    申请日:2005-06-20

    IPC分类号: G06K9/18

    CPC分类号: G06K9/222

    摘要: A mechanism for recognizing and inputting handwritten mathematical expressions into a computer by providing part of a multi-path framework is described. The part of the multi-path framework includes a subscript/superscript analysis and character determination component that is designed to identify subscript and superscript elements. A method for analyzing a handwritten mathematical expression includes receiving a symbols corresponding to handwritten mathematical expression input strokes, identifying subscript and/or superscript structures, and determining a character for each symbol of the set. A graph of vertexes and edges may be created based upon the set of symbols and the graph may be searched to determine optimized candidates.

    摘要翻译: 描述了通过提供一部分多路径框架来将手写数学表达式识别并输入计算机的机制。 多路径框架的一部分包括下标/上标分析和字符确定组件,其被设计为识别下标和上标元素。 一种用于分析手写数学表达式的方法包括接收对应于手写数学表达式输入笔画的符号,识别下标和/或上标结构,以及确定该组的每个符号的字符。 可以基于符号集创建顶点和边缘的图形,并且可以搜索图形以确定优化的候选。