公开(公告)号：US20120133779A1

公开(公告)日：2012-05-31

申请号：US12955734

申请日：2010-11-29

Applicant: Yi Ma ,  Zhengdong Zhang ,  Xiao Liang

Inventor： Yi Ma ,  Zhengdong Zhang ,  Xiao Liang

IPC: H04N17/00 ,  G06K9/36 ,  G06K9/34

CPC classification number: G06K9/6249 ,  G06K9/4671 ,  G06K2009/363 ,  G06T7/40 ,  G06T2207/10024 ,  G06T2207/20012 ,  G06T2207/20016 ,  G06T2207/20021

Abstract: A “Transform Invariant Low-Rank Texture” (TILT) Extractor, referred to as a “TILT Extractor” accurately extracts both textural and geometric information defining regions of low-rank planar patterns from 2D images of a scene, thereby enabling a large range of image processing applications. Unlike conventional feature extraction techniques that rely on point-based features, the TILT Extractor extracts texture regions from an image and derives global correlations or transformations of those regions in 3D (e.g., transformations including translation, rotation, reflection, skew, scale, etc.). These image domain transformations inherently provide information relative to an automatically determinable camera viewing direction. In other words, the TILT Extractor extracts low-rank regions and geometric correlations describing domain transforms of those regions relative to arbitrary camera viewpoints. The TILT Extractor also identifies sparse error in image intensity or other color channels resulting from noise, occlusions or other artifacts, thereby allowing elimination or reduction of such errors in images.

Abstract translation: 被称为“TILT提取器”的“变形不变低阶纹理”（TILT）提取器从场景的2D图像中精确地提取定义低阶平面图案区域的纹理和几何信息，从而使得 图像处理应用。 与依赖于基于点的特征的常规特征提取技术不同，TILT提取器从图像中提取纹理区域，并导出3D中这些区域的全局相关或变换（例如，包括平移，旋转，反射，偏斜，缩放等）的变换。 ）。 这些图像域转换固有地提供了相对于可自动确定的相机观察方向的信息。 换句话说，TILT提取器提取相对于任意摄像机视点描述这些区域的域变换的低等级区域和几何相关性。 TILT提取器还识别图像强度或由噪声，遮挡或其他伪影引起的其他颜色通道的稀疏误差，从而可以消除或减少图像中的这种错误。

公开(公告)号：US08593149B2

公开(公告)日：2013-11-26

申请号：US13005402

申请日：2011-01-12

Applicant: Zhengdong Zhang ,  Jianbo Sun ,  Li Zhang ,  Yun Lu ,  Xuguang Zhang

Inventor： Zhengdong Zhang ,  Jianbo Sun ,  Li Zhang ,  Yun Lu ,  Xuguang Zhang

IPC: G01R31/00

CPC classification number: H05B33/0893 ,  Y02B20/341

Abstract: An embodiment of the present invention relates to a method for detection of short circuit conditions in an LED array having one or more LED strings, each of which includes one or more LED devices. The method includes determining a minimum voltage that is the lowest of voltages associated with cathode terminals of the one or more LED strings. The method also includes determining if said minimum voltage is between a lower limit voltage and an upper voltage limit. If said minimum voltage is between the lower limit voltage and the upper voltage limit, then a result of a short circuit testing can be considered valid. Here, the short circuit testing includes comparing a sampled voltage associated with a cathode voltage of one of the LED strings with a short-circuit reference voltage.

Abstract translation: 本发明的实施例涉及一种用于检测具有一个或多个LED串的LED阵列中的短路状况的方法，每个LED串包括一个或多个LED器件。 该方法包括确定与一个或多个LED串的阴极端子相关联的最低电压的最小电压。 该方法还包括确定所述最小电压是否在下限电压和上限电压之间。 如果所述最小电压在下限电压和上限电压之间，则短路测试的结果可以被认为是有效的。 这里，短路测试包括将与一个LED串的阴极电压相关联的采样电压与短路参考电压进行比较。

公开(公告)号：US20120133780A1

公开(公告)日：2012-05-31

申请号：US13310729

申请日：2011-12-03

Applicant: Zhengdong Zhang ,  Yasuyuki Matsushita ,  Yi Ma

Inventor： Zhengdong Zhang ,  Yasuyuki Matsushita ,  Yi Ma

IPC: H04N17/00

CPC classification number: G06T7/0018 ,  G06T7/80 ,  G06T2207/20104 ,  H04N17/002

Abstract: A “Camera Calibrator” provides various techniques for recovering intrinsic camera parameters and distortion characteristics by processing a set of one or more input images. These techniques are based on extracting “Transform Invariant Low-Rank Textures” (TILT) from input images using high-dimensional convex optimization tools for matrix rank minimization and sparse signal recovery. The Camera Calibrator provides a simple, accurate, and flexible method to calibrate intrinsic parameters of a camera even with significant lens distortion, noise, errors, partial occlusions, illumination and viewpoint change, etc. Distortions caused by the camera can then be automatically corrected or removed from images. Calibration is achieved under a wide range of practical scenarios, including using multiple images of a known pattern, multiple images of an unknown pattern, single or multiple images of multiple patterns, etc. Significantly, calibration is achieved without extracting or manually identifying low-level features such as corners or edges from the calibration images.

Abstract translation: “相机校准器”提供了通过处理一组一个或多个输入图像来恢复本征相机参数和失真特性的各种技术。 这些技术基于使用用于矩阵秩最小化和稀疏信号恢复的高维凸优化工具从输入图像中提取“变换不变低阶纹理”（TILT）。 相机校准器提供了一种简单，准确和灵活的校准相机内在参数的方法，即使具有明显的镜头失真，噪点，误差，部分遮挡，照明和视点更改等等，相机产生的失真也可以自动更正或修正 从图像中删除 在广泛的实际情况下实现校准，包括使用已知图案的多个图像，未知图案的多个图像，多个图案的单个或多个图像等。显着地，在不提取或手动识别低级别的情况下实现校准 特征如校准图像的拐角或边缘。

公开(公告)号：US08463073B2

公开(公告)日：2013-06-11

申请号：US12955734

申请日：2010-11-29

Applicant: Yi Ma ,  Zhengdong Zhang ,  Xiao Liang

Inventor： Yi Ma ,  Zhengdong Zhang ,  Xiao Liang

IPC: G06K9/36

CPC classification number: G06K9/6249 ,  G06K9/4671 ,  G06K2009/363 ,  G06T7/40 ,  G06T2207/10024 ,  G06T2207/20012 ,  G06T2207/20016 ,  G06T2207/20021

Abstract: A “Transform Invariant Low-Rank Texture” (TILT) Extractor, referred to as a “TILT Extractor” accurately extracts both textural and geometric information defining regions of low-rank planar patterns from 2D images of a scene, thereby enabling a large range of image processing applications. Unlike conventional feature extraction techniques that rely on point-based features, the TILT Extractor extracts texture regions from an image and derives global correlations or transformations of those regions in 3D (e.g., transformations including translation, rotation, reflection, skew, scale, etc.). These image domain transformations inherently provide information relative to an automatically determinable camera viewing direction. In other words, the TILT Extractor extracts low-rank regions and geometric correlations describing domain transforms of those regions relative to arbitrary camera viewpoints. The TILT Extractor also identifies sparse error in image intensity or other color channels resulting from noise, occlusions or other artifacts, thereby allowing elimination or reduction of such errors in images.

Abstract translation: 被称为“TILT提取器”的“变形不变低阶纹理”（TILT）提取器从场景的2D图像中精确地提取定义低阶平面图案区域的纹理和几何信息，从而使得 图像处理应用。 与依赖于基于点的特征的常规特征提取技术不同，TILT提取器从图像中提取纹理区域，并导出3D中这些区域的全局相关或变换（例如，包括平移，旋转，反射，偏斜，缩放等）的变换。 ）。 这些图像域转换固有地提供了相对于可自动确定的相机观察方向的信息。 换句话说，TILT提取器提取相对于任意摄像机视点描述这些区域的域变换的低等级区域和几何相关性。 TILT提取器还识别图像强度或由噪声，遮挡或其他伪影引起的其他颜色通道的稀疏误差，从而可以消除或减少图像中的这种错误。

公开(公告)号：US08818132B2

公开(公告)日：2014-08-26

申请号：US13310729

申请日：2011-12-03

Applicant: Zhengdong Zhang ,  Yasuyuki Matsushita ,  Yi Ma

Inventor： Zhengdong Zhang ,  Yasuyuki Matsushita ,  Yi Ma

IPC: G06K9/36 ,  G06T7/00

CPC classification number: G06T7/0018 ,  G06T7/80 ,  G06T2207/20104 ,  H04N17/002

Abstract: A “Camera Calibrator” provides various techniques for recovering intrinsic camera parameters and distortion characteristics by processing a set of one or more input images. These techniques are based on extracting “Transform Invariant Low-Rank Textures” (TILT) from input images using high-dimensional convex optimization tools for matrix rank minimization and sparse signal recovery. The Camera Calibrator provides a simple, accurate, and flexible method to calibrate intrinsic parameters of a camera even with significant lens distortion, noise, errors, partial occlusions, illumination and viewpoint change, etc. Distortions caused by the camera can then be automatically corrected or removed from images. Calibration is achieved under a wide range of practical scenarios, including using multiple images of a known pattern, multiple images of an unknown pattern, single or multiple images of multiple patterns, etc. Significantly, calibration is achieved without extracting or manually identifying low-level features such as corners or edges from the calibration images.

Abstract translation: “相机校准器”提供了通过处理一组一个或多个输入图像来恢复本征相机参数和失真特性的各种技术。 这些技术基于使用用于矩阵秩最小化和稀疏信号恢复的高维凸优化工具从输入图像中提取“变换不变低阶纹理”（TILT）。 相机校准器提供了一种简单，准确和灵活的校准相机内在参数的方法，即使有明显的镜头失真，噪点，错误，部分遮挡，照明和视点更改等。然后可以自动更正相机造成的失真或 从图像中删除 在广泛的实际情况下实现校准，包括使用已知图案的多个图像，未知图案的多个图像，多个图案的单个或多个图像等。显着地，在不提取或手动识别低级别的情况下实现校准 特征如校准图像的拐角或边缘。

公开(公告)号：US08214153B1

公开(公告)日：2012-07-03

申请号：US10057270

申请日：2002-01-26

Applicant: George E. Fox ,  Richard C. Willson, III ,  Zhengdong Zhang

Inventor： George E. Fox ,  Richard C. Willson, III ,  Zhengdong Zhang

IPC: G01N33/48 ,  G01N33/50

CPC classification number: G06F19/14 ,  G06F19/18 ,  G06F19/20 ,  H01J49/164

Abstract: Selecting which sub-sequences in a database of nucleic acid such as 16S rRNA are highly characteristic of particular groupings of bacteria, microorganisms, fungi, etc. on a substantially phylogenetic tree. Also applicable to viruses comprising viral genomic RNA or DNA. A catalogue of highly characteristic sequences identified by this method is assembled to establish the genetic identity of an unknown organism. The characteristic sequences are used to design nucleic acid hybridization probes that include the characteristic sequence or its complement, or are derived from one or more characteristic sequences. A plurality of these characteristic sequences is used in hybridization to determine the phylogenetic tree position of the organism(s) in a sample. Those target organisms represented in the original sequence database and sufficient characteristic sequences can identify to the species or subspecies level. Oligonucleotide arrays of many probes are especially preferred. A hybridization signal can comprise fluorescence, chemiluminescence, or isotopic labeling, etc.; or sequences in a sample can be detected by direct means, e.g. mass spectrometry. The method's characteristic sequences can also be used to design specific PCR primers. The method uniquely identifies the phylogenetic affinity of an unknown organism without requiring prior knowledge of what is present in the sample. Even if the organism has not been previously encountered, the method still provides useful information about which phylogenetic tree bifurcation nodes encompass the organism.

Abstract translation: 选择核酸数据库（如16S rRNA）中的哪些子序列在基本系统发育树上是细菌，微生物，真菌等的特定分组的高度特征。 也适用于包含病毒基因组RNA或DNA的病毒。 组合通过该方法鉴定的高度特征性序列的目录，以确定未知生物体的遗传特性。 特征序列用于设计核酸杂交探针，其包括特征序列或其补体，或衍生自一个或多个特征序列。 在杂交中使用多个这些特征序列来确定样品中生物的系统发生树位置。 在原始序列数据库中表示的目标生物体和足够的特征序列可以鉴定物种或亚种水平。 许多探针的寡核苷酸阵列是特别优选的。 杂交信号可以包括荧光，化学发光或同位素标记等; 或样品中的序列可以通过直接方式检测，例如， 质谱。 该方法的特征序列也可用于设计特异性PCR引物。 该方法唯一地识别未知生物的系统发生亲和力，而不需要事先了解样品中存在的内容。 即使生物体以前没有遇到，该方法仍然提供关于哪个系统发生树分叉节点包含有机体的有用信息。

公开(公告)号：US20150324518A1

公开(公告)日：2015-11-12

申请号：US13532001

申请日：2012-06-25

Applicant: George E. Fox ,  Richard C. Willson, III ,  Zhengdong Zhang

Inventor： George E. Fox ,  Richard C. Willson, III ,  Zhengdong Zhang

IPC: G06F19/14 ,  H01J49/16

CPC classification number: G16B10/00 ,  G16B20/00 ,  G16B25/00 ,  H01J49/164

Abstract: Selecting which sub-sequences in a database of nucleic acid such as 16S rRNA are highly characteristic of particular groupings of bacteria, microorganisms, fungi, etc. on a substantially phylogenetic tree. Also applicable to viruses comprising viral genomic RNA or DNA. A catalogue of highly characteristic sequences identified by this method is assembled to establish the genetic identity of an unknown organism. The characteristic sequences are used to design nucleic acid hybridization probes that include the characteristic sequence or its complement, or are derived from one or more characteristic sequences. A plurality of these characteristic sequences is used in hybridization to determine the phylogenetic tree position of the organism(s) in a sample. Those target organisms represented in the original sequence database and sufficient characteristic sequences can identify to the species or subspecies level. Oligonucleotide arrays of many probes are especially preferred. A hybridization signal can comprise fluorescence, chemiluminescence, or isotopic labeling, etc.; or sequences in a sample can be detected by direct means, e.g. mass spectrometry. The method's characteristic sequences can also be used to design specific PCR primers. The method uniquely identifies the phylogenetic affinity of an unknown organism without requiring prior knowledge of what is present in the sample. Even if the organism has not been previously encountered, the method still provides useful information about which phylogenetic tree bifurcation nodes encompass the organism.

Abstract translation: 选择核酸数据库（如16S rRNA）中的哪些子序列在基本系统发育树上是细菌，微生物，真菌等的特定分组的高度特征。 也适用于包含病毒基因组RNA或DNA的病毒。 组合通过该方法鉴定的高度特征性序列的目录，以确定未知生物体的遗传特性。 特征序列用于设计核酸杂交探针，其包括特征序列或其补体，或衍生自一个或多个特征序列。 在杂交中使用多个这些特征序列来确定样品中生物的系统发生树位置。 在原始序列数据库中表示的目标生物体和足够的特征序列可以鉴定物种或亚种水平。 许多探针的寡核苷酸阵列是特别优选的。 杂交信号可以包括荧光，化学发光或同位素标记等; 或样品中的序列可以通过直接方式检测，例如， 质谱。 该方法的特征序列也可用于设计特异性PCR引物。 该方法唯一地识别未知生物的系统发生亲和力，而不需要事先了解样品中存在的内容。 即使生物体以前没有遇到，该方法仍然提供关于哪个系统发生树分叉节点包含有机体的有用信息。

公开(公告)号：US08774558B2

公开(公告)日：2014-07-08

申请号：US13310730

申请日：2011-12-03

Applicant: Xin Zhang ,  Zhengdong Zhang ,  Xiao Liang ,  Zhouchen Lin ,  Yi Ma

Inventor： Xin Zhang ,  Zhengdong Zhang ,  Xiao Liang ,  Zhouchen Lin ,  Yi Ma

IPC: G06K9/36 ,  G06K9/32

CPC classification number: G06K9/3275 ,  G06K9/6249 ,  G06K2209/01

Abstract: 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.

Abstract translation: “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 。

公开(公告)号：US20120134588A1

公开(公告)日：2012-05-31

申请号：US13310730

申请日：2011-12-03

Applicant: Xin Zhang ,  Zhengdong Zhang ,  Xiao Liang ,  Zhouchen Lin ,  Yi Ma

Inventor： Xin Zhang ,  Zhengdong Zhang ,  Xiao Liang ,  Zhouchen Lin ,  Yi Ma

IPC: G06K9/34

CPC classification number: G06K9/3275 ,  G06K9/6249 ,  G06K2209/01

Abstract: 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.

Abstract translation: “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 。

公开(公告)号：US20110316543A1

公开(公告)日：2011-12-29

申请号：US13005402

申请日：2011-01-12

Applicant: Zhengdong Zhang ,  Jianbo Sun ,  Li Zhang ,  Yun Lu ,  Xuguang Zhang

Inventor： Zhengdong Zhang ,  Jianbo Sun ,  Li Zhang ,  Yun Lu ,  Xuguang Zhang

IPC: G01R31/00

CPC classification number: H05B33/0893 ,  Y02B20/341

Abstract: An embodiment of the present invention relates to a method for detection of short circuit conditions in an LED array having one or more LED strings, each of which includes one or more LED devices. The method includes determining a minimum voltage that is the lowest of voltages associated with cathode terminals of the one or more LED strings. The method also includes determining if said minimum voltage is between a lower limit voltage and an upper voltage limit. If said minimum voltage is between the lower limit voltage and the upper voltage limit, then a result of a short circuit testing can be considered valid. Here, the short circuit testing includes comparing a sampled voltage associated with a cathode voltage of one of the LED strings with a short-circuit reference voltage.

Abstract translation: 本发明的实施例涉及一种用于检测具有一个或多个LED串的LED阵列中的短路状况的方法，每个LED串包括一个或多个LED器件。 该方法包括确定与一个或多个LED串的阴极端子相关联的最低电压的最小电压。 该方法还包括确定所述最小电压是否在下限电压和上限电压之间。 如果所述最小电压在下限电压和上限电压之间，则短路测试的结果可以被认为是有效的。 这里，短路测试包括将与一个LED串的阴极电压相关联的采样电压与短路参考电压进行比较。