公开(公告)号：US20040264770A1

公开(公告)日：2004-12-30

申请号：US10604199

申请日：2003-06-30

Applicant: XEROX CORPORATION

Inventor： Gaurav Sharma ,  Reiner ESCHBACH ,  Shen-ge WANG

IPC: G06T007/00 ,  G06K009/56 ,  G06K009/46 ,  G06K009/62

CPC classification number: H04N1/60 ,  G06K9/036 ,  G06T7/90

Abstract: Methods and systems used to associate color calibration profiles with scanned images based on identifying the marking process used for an image on a substrate using spatial characteristics and/or color of the image. Image types which are classified and identified include continuous tone images and halftone images. Among halftone images separately identified are inkjet images, xerographic images and lithographic images. Locally adaptive image threshold techniques may be used to determine the spatial characteristics of the image.

公开(公告)号：US20040264768A1

公开(公告)日：2004-12-30

申请号：US10604197

申请日：2003-06-30

Applicant: XEROX CORPORATION

Inventor： Gaurav Sharma ,  Reiner ESCHBACH ,  Shen-ge WANG

IPC: G06T007/00 ,  G06K009/62 ,  G06K009/46 ,  G06K009/56

CPC classification number: H04N1/603 ,  G06K9/036 ,  G06T7/90 ,  H04N1/40062 ,  H04N1/6041

Abstract: Methods and systems used to associate color calibration profiles with scanned images based on identifying the marking process used for an image on a substrate using spatial characteristics and/or color of the image. Image types which are classified and identified include continuous tone images and halftone images. Among halftone images separately identified are inkjet images, xerographic images and lithographic images. Locally adaptive image threshold techniques may be used to determine the spatial characteristics of the image.

Abstract translation: 用于基于使用图像的空间特征和/或颜色识别用于衬底上的图像的标记过程的用于将颜色校准轮廓与扫描图像相关联的方法和系统。 分类和识别的图像类型包括连续色调图像和半色调图像。 在分开标识的半色调图像中，是喷墨图像，静电复印图像和平版印刷图像。 本地适应性图像阈值技术可用于确定图像的空间特征。

公开(公告)号：US20040258306A1

公开(公告)日：2004-12-23

申请号：US10603135

申请日：2003-06-23

Applicant: Shoestring Research, LLC

Inventor： Roy T. Hashimoto

IPC: G06K009/00 ,  G06K009/62

CPC classification number: G06K9/3216 ,  G06T7/74 ,  G06T2207/30244

Abstract: Novel fiducial designs that are based on a plane circle are Disclosed. These fiducial designs can provide five or six degree of freedom poses with a single fiducial using efficient closed form solutions. A novel pose estimation method is used to select the appropriate solution from the multiple solutions obtained, given certain application assumptions, is also disclosed.

Abstract translation: 公开了基于平面圆的新颖的基准设计。 这些基准设计可以使用高效的封闭式解决方案为单个基准提供五到六度的自由姿态。 在一些应用假设条件下，采用新的姿态估计方法从所获得的多个解决方案中选择合适的解。

公开(公告)号：US20040258285A1

公开(公告)日：2004-12-23

申请号：US10491746

申请日：2004-08-11

Inventor： Johan Dore Hansen ,  Michael Grunkin ,  Niels Vaever Hartvig ,  Jannik Godt ,  Per Ronsholt Andresen ,  Ebbe Sorensen ,  Soffia Bjork Smith

IPC: G06K009/00 ,  G06K009/62

CPC classification number: G06T7/0012 ,  G06T2207/30041 ,  Y02A90/26

Abstract: The present invention relates to a method for assessing the presence or absence of lesion(s) in an image and a system therefor, wherein said image may be any image potentially comprising lesions, in particular an image from medical image diagnostics, and more particularly an ocular fundus image. The lesions are identified from starting points being candidate lesion areas and validated with respect to their visibility as compared to the local surroundings.

Abstract translation: 本发明涉及一种用于评估图像及其系统中的病变的存在或不存在的方法，其中所述图像可以是潜在地包括病变的任何图像，特别是来自医学图像诊断的图像，更具体地， 眼底图像。 从作为候选病变区域的起点确定病变，并且相对于其局部环境与其可见性有关。

公开(公告)号：US20040247182A1

公开(公告)日：2004-12-09

申请号：US10454940

申请日：2003-06-05

Inventor： Lothar Wenzel

IPC: G06K009/62

CPC classification number: G06K9/52 ,  G06K9/4604 ,  G06K9/48

Abstract: System and method for characterizing configurations of discrete curves based on detected symmetries in the configuration. A configuration of discrete closed curves is received. A plurality of configuration rotational symmetry sub-groups of the configuration are determined, each associated with one or more of the discrete curves, and based on each curve's distance from a configuration center of mass, equivalence class, rotational symmetry group, and sub-configuration rotational symmetry group. The configuration rotational symmetry sub-groups are determined by normalizing the configuration, including determining a configuration center of mass, determining the equivalence class and rotational symmetry group for each discrete curve, determining one or more subsets of the discrete curves based on each discrete curve's equivalence class and distance from the configuration center of mass, and determining configuration rotational symmetry sub-groups for each of the subsets based on each curve's rotational symmetry group, and relative orientations of the discrete curves in the subset.

Abstract translation: 基于配置中检测到的对称性来表征离散曲线的配置的系统和方法。 接收离散闭合曲线的配置。 确定配置的多个配置旋转对称子组，每个与一个或多个离散曲线相关联，并且基于每个曲线与配置质心，等效类，旋转对称组和子配置的距离 旋转对称组。 配置旋转对称子组通过对配置进行归一化来确定，包括确定配置质心，确定每个离散曲线的等价类和旋转对称组，基于每个离散曲线的等价度确定离散曲线的一个或多个子集 根据每个曲线的旋转对称组以及该子集中的离散曲线的相对取向确定每个子集的配置旋转对称子组。

公开(公告)号：US20040234137A1

公开(公告)日：2004-11-25

申请号：US10472208

申请日：2004-07-13

Inventor： Martin Weston ,  Michael James Knee

IPC: G06K009/62 ,  G06K009/34

CPC classification number: G06K9/6221 ,  G06K9/342 ,  G06T7/11

Abstract: In segmenting multidimensional image data, the data is represented as a set of points in a vector space which is the product of the vector space of pixel values and the vector space of pixel locations. Segments are determined by the result of clustering of the points, typically by simulating gravitational clustering of the points considered as point masses. From time to time the points are merged according to a proximity criterion, typically defined by mutual occupancy of a pre-defined hypercube in the vector space. The mapping of original pixels to points is tracked during the simulation process, so that pixels may be mapped to segments.

Abstract translation: 在分割多维图像数据时，数据被表示为矢量空间中的一组点，其是像素值的向量空间和像素位置的向量空间的乘积。 分段由点聚类的结果确定，通常通过模拟被认为是点质量的点的重力聚类。 时间点根据接近度标准合并，通常由向量空间中预定义的超立方体的相互占用而定义。 在模拟过程中跟踪原始像素到点的映射，使得像素可以被映射到段。

公开(公告)号：US20040234120A1

公开(公告)日：2004-11-25

申请号：US10794267

申请日：2004-03-04

Applicant: Hitachi High-Technologies Corporation

Inventor： Toshifumi Honda ,  Atsushi Miyamoto ,  Hirohito Okuda

IPC: G06K009/00 ,  G06K009/62

CPC classification number: G06T7/0004 ,  G06T2207/30148

Abstract: With little efforts, to estimate the appropriateness of automatic defect classification, and to make classification criteria settable with a guarantee for the better classification performance, defects unknown with their classification classes are classified based on two different classification criteria. Also, defects differed in classification results are collected, and each thereto, a defect classification class is provided by using a manual. Then, the defects provided with the classification classes are divided into two types of groups: one is a setting group for the classification criteria; and the other is an evaluation group. Based on the classification criteria that is so set as to classify the defects included in the setting group with the maximum performance, the classification performance of a case where classification is applied to defects included in the evaluation group is calculated, and the appropriateness of thus set classification criteria is evaluated.

Abstract translation: 为了评估自动缺陷分类的适用性，对分类标准进行可设定，对分类性能进行更好的保证，分类等级不明的缺陷分类基于两种不同的分类标准。 此外，收集分类结果的缺陷不同，并且通过使用手册提供缺陷分类等级。 然后，分类等级提供的缺陷分为两类：一类是分类标准的设定组; 另一个是评估组。 根据设定为具有最大性能的设定组中包含的缺陷的分类标准，计算对评价组中包含的缺陷进行分类的情况的分类性能，由此设定适当性 评估分类标准。

公开(公告)号：US20040213454A1

公开(公告)日：2004-10-28

申请号：US10720198

申请日：2003-11-25

Applicant: Industrial Technology Research Institute

Inventor： Shang-Hong Lai ,  Jiang-Ge Chen ,  Yea-Shuan Huang

IPC: G06K009/62 ,  G06K009/00

CPC classification number: G06K9/00268

Abstract: A statistical facial feature extraction method is disclosed. In a training phase, N training face images are respectively labeled n feature points located in n different blocks to form N feature vectors. Next, a principal component analysis (PCA) technique is used to obtain a statistical face shape model after aligning each shape vector with a reference shape vector. In an executing phase, initial positions for desired facial features are firstly guessed according to the coordinates of the mean shape for aligned training face images obtained in the training phase, and k candidates are respectively labeled in n search ranges corresponding to above-mentioned initial positions to obtain kn different combinations of test shape vectors. Finally, coordinates of the test shape vector having the best similarity with the mean shape for aligned training face image and the statistical face shape model are assigned as facial features of the test face image.

Abstract translation: 公开了统计面部特征提取方法。 在训练阶段，N个训练面部图像分别标记在n个不同块中的n个特征点，以形成N个特征向量。 接下来，使用主成分分析（PCA）技术在将每个形状向量与参考形状向量对齐之后获得统计面部形状模型。 在执行阶段，首先根据在训练阶段获得的对齐训练面部图像的平均形状的坐标来猜测所需面部特征的初始位置，并且将k个候选分别标记在与上述初始位置对应的n个搜索范围内 以获得测试形状矢量的不同组合。 最后，将具有与对准的训练面部图像的平均形状和统计面部形状模型最相似的测试形状向量的坐标分配为测试面部图像的面部特征。

公开(公告)号：US20040208374A1

公开(公告)日：2004-10-21

申请号：US10419913

申请日：2003-04-16

Inventor： Shih-Jong J. Lee ,  Seho Oh

IPC: G06K009/62

CPC classification number: G06K9/4647 ,  G06K9/6203

Abstract: A fast decomposition and synthesis invariant matching method receives an input image and a pattern template. The input image and pattern template image are used to create a match result output. A refined invariant match uses the initial match result and the pattern template to create a refined invariant match result. The fast decomposition and synthesis invariant pattern search method performs pattern decomposition and synthesis learning to create a pattern search recipe that is used by an invariant pattern search and synthesis method to generate the match result. The pattern search recipe includes template component invariant profiles, component weights, and allowable partial pattern configurations. The invariant matching method supports partial pattern match. This invention decomposes a template into multiple compact shaped components and performs search using separate rotation and scale invariant profiles for each component. It then synthesizes the search results for the complete template or partial template using the component search results. This invention can be directly generalized to three-dimensional or higher dimensional invariant pattern search and can achieves greater speed and accuracy than the prior art methods. Therefore, it can be used in applications such as 3D medical imaging, dynamic medical imaging, confocal microscopy, live cell assays in drug discovery, or ultrasound imaging.

Abstract translation: 快速分解和综合不变匹配方法接收输入图像和模式模板。 输入图像和图案模板图像用于创建匹配结果输出。 精细不变量匹配使用初始匹配结果和模式模板来创建精确的不变量匹配结果。 快速分解和综合不变图案搜索方法执行模式分解和综合学习，创建一种不变图案搜索和合成方法用于生成匹配结果的图案搜索配方。 模式搜索配方包括模板组件不变轮廓，组件权重和可允许的部分模式配置。 不变匹配方法支持部分模式匹配。 本发明将模板分解为多个紧凑形状的组件，并且使用针对每个组件的单独的旋转和尺度不变轮廓来执行搜索。 然后使用组件搜索结果合成完整模板或部分模板的搜索结果。 本发明可以直接推广到三维或更高维度不变图案搜索，并且可以实现比现有技术方法更大的速度和精度。 因此，它可以用于3D医学成像，动态医学成像，共聚焦显微镜，药物发现中的活细胞测定或超声成像等应用。

公开(公告)号：US20040190767A1

公开(公告)日：2004-09-30

申请号：US10786831

申请日：2004-02-25

Inventor： Daniel E. Tedesco ,  James A. Jorasch ,  Geoffrey M. Gelman ,  Jay S. Walker ,  Stephen C. Tulley ,  Vincent M. O'Neil ,  Dean P. Alderucci

IPC: G06K009/62 ,  G06K009/00 ,  H04N007/18

CPC classification number: H04L67/12 ,  G06F17/30256 ,  G06F17/30259 ,  G08B13/19641 ,  G08B13/19656 ,  G08B13/19663 ,  G08B13/19673 ,  G08B13/1968 ,  H04L63/08

Abstract: Disclosed herein are systems and methods for facilitating the usage of an online workforce to remotely monitor security-sensitive sites and report potential security breaches. In some embodiments, cameras are configured to monitor critical civilian infrastructure, such as water supplies and nuclear reactors. The cameras are operatively connected to a central computer or series of computers, and images captured by the cameras are transmitted to the central computer. After initially registering with the central computer, Guardians nulllog onnull to a central website hosted by the central computer and monitor the images, thereby earning compensation. In one embodiment, images ofnullno-mannull zonesnullareas where no humans or vehicles should be present or monitorednullare sent to Guardians for a simple determination of whether or not a human exists in the picture. Site owners compensate the operator of the computer system for this monitoring service, and the operator in turn compensates Guardians based on, for example, (i) the amount of time spent monitoring, and/or (ii) the degree of a given Guardian's responsiveness to real or fabricated security breaches. Among other things, systems and methods are disclosed herein for facilitating (a) the registration of monitored sites, (b) the registration of Guardians, and (c) the management of monitoring sessions, including the routing of real and fabricated images to Guardians, the rating of Guardians, and the compensation of Guardians. Many additional and alternative embodiments are contemplated, including the following example of one embodiment.

Abstract translation: 本文公开的是用于促进在线劳动力的使用以远程监视安全敏感站点并报告潜在安全漏洞的系统和方法。 在一些实施例中，照相机被配置为监测关键的民用基础设施，例如供水和核反应堆。 相机可操作地连接到中央计算机或一系列计算机，并且由相机拍摄的图像被传送到中央计算机。 最初向中央电脑注册后，监护人“登录”到由中央电脑主办的中央网站，并监控图像，从而获得赔偿。 在一个实施例中，为了简单地确定图像中是否存在人的简单确定，将向“监护人”发送“无人”区域 - 不存在或监视人或车辆的区域的图像。 网站所有者对计算机系统的运营商进行补偿，用于此监控服务，而运营商又根据（i）监控时间量和/或（ii）给定的监护人的响应程度来补偿监护人 实际或制造安全漏洞。 除此之外，本文还公开了系统和方法，以便于（a）监控站点的注册，（b）监护人的注册，（c）管理监控会话，包括将真实和制造的映像路由到监护人， 监护人的评级和监护人的赔偿。 涵盖了许多附加和替代实施例，包括一个实施例的以下示例。