公开(公告)号：US08559672B2

公开(公告)日：2013-10-15

申请号：US13260354

申请日：2009-06-01

Applicant: Darryl Greig

Inventor： Darryl Greig

IPC: G06K9/00

CPC classification number: G06T3/00 ,  G06K9/00228 ,  G06K9/6257 ,  G06K9/6282

Abstract: Disclosed are embodiments for determining detection certainty in a cascade classifier (100). A first sequence (101) of detection stages (102) determines whether an image (112) is associated with a rare object. Each of the stages (102) rejects the image (112) when the image (112) is unassociated with the rare object and propagates the image (112) to a next stage (102) when the image (112) is unrejected. A second sequence (103) of detection stages (104) is configured for post-processing operation. If the image (112) is unrejected in a final stage (102d) of the first sequence (101), the second sequence (103) determines whether the image (112) is associated with the rare object. Each of the stages (104) propagates the image to a next stage (104), recording a rejection when the image (112) is unassociated with the rare object. A probability that the image (112) is associated with the rare object is determined.

Abstract translation: 公开了用于确定级联分类器（100）中的检测确定性的实施例。 检测级（102）的第一序列（101）确定图像（112）是否与罕见对象相关联。 当图像（112）与罕见对象不相关时，每个级（102）拒绝图像（112），并且当图像（112）未被注入时，将图像（112）传播到下一级（102）。 检测级（104）的第二序列（103）被配置用于后处理操作。 如果图像（112）在第一序列（101）的最后阶段（102d）中未被注入，则第二序列（103）确定图像（112）是否与罕见对象相关联。 每个级（104）将图像传播到下一级（104），当图像（112）与罕见对象不相关时记录拒绝。 确定图像（112）与罕见对象相关联的概率。

公开(公告)号：US20120320144A1

公开(公告)日：2012-12-20

申请号：US13164492

申请日：2011-06-20

Applicant: Ramin Samadani ,  Carl Staelin ,  Darryl Greig

Inventor： Ramin Samadani ,  Carl Staelin ,  Darryl Greig

IPC: H04N7/14

CPC classification number: H04N7/15 ,  H04N9/73

Abstract: A system for coordinating image characteristics in a plurality (n) of video streams, the system includes human factor value determination component, a human factor value comparator component, a human factor modification component. The human factor modification component determines the value of at least the human perceptible factor for at least a subset of the plurality of video streams. The human factor value comparator component compares the value of the at least one human perceptible factor for each of the at least a subset of n video streams. The human factor modification component modifies the value of the human perceptible factor for the at least a subset of the n video streams to minimize the differences in the values of the human perceptible factors between the n independently captured video streams.

Abstract translation: 一种用于协调多个（n）个视频流中的图像特征的系统，所述系统包括人为因素值确定组件，人为因素值比较器组件，人为因素修改组件。 所述人为因素修改组件确定所述多个视频流的至少一个子集的至少所述人可感知因子的值。 人为因素值比较器部件将n个视频流的至少一个子集中的每一个的至少一个人感知因子的值进行比较。 人为因素修改组件修改n个视频流的至少一个子集的人类可感知因子的值，以最小化在n个独立捕获的视频流之间人类可感知因素的值的差异。

公开(公告)号：US08300973B2

公开(公告)日：2012-10-30

申请号：US11953221

申请日：2007-12-10

Applicant: Darryl Greig

Inventor： Darryl Greig

IPC: G06K9/40

CPC classification number: G06K9/00228 ,  G06K9/4609

Abstract: A method of pre-processing an image to identify processes for subsequent processing of the image, comprising the steps of: a) investigating portions of the image using a spatial filter; b) calculating for a first plurality of regions within a portion of the image under investigation respective metrics as a function of intensity within those regions; c) selecting combinations of regions within the portion of the image under investigation and processing them to obtain a second plurality of filter values, where the second plurality is greater than the first plurality; and d) comparing the filter values with process thresholds for subsequent processes so as to identify subsequent processes that can be skipped.

Abstract translation: 一种预处理图像以识别图像的后续处理的过程的方法，包括以下步骤：a）使用空间滤波器调查图像的部分; b）根据所研究的图像的一部分内的第一多个区域计算作为这些区域内的强度的函数的各个度量; c）选择所研究的图像部分内的区域的组合并对其进行处理以获得第二多个滤波器值，其中第二多个滤波器值大于第一多个滤波器值; 以及d）将过滤器值与后续过程的过程阈值进行比较，以便识别可以跳过的后续过程。

公开(公告)号：US20120243734A1

公开(公告)日：2012-09-27

申请号：US13260354

申请日：2009-06-01

Applicant: Darryl Greig

Inventor： Darryl Greig

IPC: G06K9/62 ,  G06T7/40 ,  G06K9/00

CPC classification number: G06T3/00 ,  G06K9/00228 ,  G06K9/6257 ,  G06K9/6282

Abstract: Disclosed are embodiments for determining detection certainty in a cascade classifier (100). A first sequence (101) of detection stages (102) determines whether an image (112) is associated with a rare object. Each of the stages (102) rejects the image (112) when the image (112) is unassociated with the rare object and propagates the image (112) to a next stage (102) when the image (112) is unrejected. A second sequence (103) of detection stages (104) is configured for post-processing operation. If the image (112) is unrejected in a final stage (102d) of the first sequence (101), the second sequence (103) determines whether the image (112) is associated with the rare object. Each of the stages (104) propagates the image to a next stage (104), recording a rejection when the image (112) is unassociated with the rare object. A probability that the image (112) is associated with the rare object is determined.

Abstract translation: 公开了用于确定级联分类器（100）中的检测确定性的实施例。 检测级（102）的第一序列（101）确定图像（112）是否与罕见对象相关联。 当图像（112）与罕见对象不相关时，每个级（102）拒绝图像（112），并且当图像（112）未被注入时，将图像（112）传播到下一级（102）。 检测级（104）的第二序列（103）被配置用于后处理操作。 如果图像（112）在第一序列（101）的最后阶段（102d）中未被注入，则第二序列（103）确定图像（112）是否与罕见对象相关联。 每个级（104）将图像传播到下一级（104），当图像（112）与罕见对象不相关时记录拒绝。 确定图像（112）与罕见对象相关联的概率。

公开(公告)号：US20120192047A1

公开(公告)日：2012-07-26

申请号：US13013635

申请日：2011-01-25

Applicant: David Neil Slatter ,  Darryl Greig ,  Andrew Hunter

Inventor： David Neil Slatter ,  Darryl Greig ,  Andrew Hunter

IPC: G06F17/00

CPC classification number: G06F17/248 ,  G06F17/211

Abstract: Systems and methods are provided for building a complex document. A system can include a memory for storing computer executable instructions and a processing unit for accessing the memory and executing the computer executable instructions. The computer executable instructions can include a graphical user interface engine to display a target complex document browser and a plurality of source complex document browsers, such that elements and containers contained within a complex document displayed by each of the source complex document browsers are copyable into the target complex document browser in response to user input information to build a new complex document.

Abstract translation: 提供了构建复杂文档的系统和方法。 系统可以包括用于存储计算机可执行指令的存储器和用于访问存储器并执行计算机可执行指令的处理单元。 计算机可执行指令可以包括用于显示目标复杂文档浏览器和多个源复杂文档浏览器的图形用户界面引擎，使得包含在由每个源复合文档浏览器显示的复杂文档内的元素和容器可复制到 针对复杂文档浏览器响应用户输入信息构建新的复杂文档。

公开(公告)号：US08184853B2

公开(公告)日：2012-05-22

申请号：US11492189

申请日：2006-07-25

Applicant: Maurizio Pilu ,  Darryl Greig

Inventor： Maurizio Pilu ,  Darryl Greig

IPC: G06K9/00 ,  G06K9/46 ,  G06K9/52 ,  H04N5/225

CPC classification number: G06T7/20

Abstract: Detectors capable of accurately detecting and tracking moving features of such as faces within a video stream are sometimes too slow to be run in real-time. The present invention rapidly scans video footage in real-time and generates a series of preattemptive triggers indicating the frames and locations within the frames at our deserving of further investigation by a sub real-time detector. The triggers are generated by looking for peaks in a time variant measure such as the amount of symmetry within a frame or portion of a frame.

Abstract translation: 能够准确地检测和跟踪诸如视频流中的面部的移动特征的检测器有时太慢以至于无法实时运行。 本发明实时快速扫描视频片段，并产生一系列预先触发的触发信号，指示帧内的帧和位置在我们值得进一步通过子实时检测器进行调查。 通过在时间变量测量中寻找峰值来生成触发，例如帧或帧的一部分内的对称量。

公开(公告)号：US07409372B2

公开(公告)日：2008-08-05

申请号：US10600671

申请日：2003-06-20

Applicant: Carl Staelin ,  Darryl Greig ,  Manl Flacher ,  Ron Maurer

Inventor： Carl Staelin ,  Darryl Greig ,  Manl Flacher ,  Ron Maurer

IPC: G06E1/00 ,  G06E3/00 ,  G06F15/18 ,  G06G7/00 ,  G06N3/02 ,  G06N3/00 ,  G06N3/08

CPC classification number: G06N3/08

Abstract: A neural network is trained with input data. The neural network is used to rescale the input data. Errors for the rescaled values are determined, and neighborhoods of the errors are used adjust connection weights of the neural network.

Abstract translation: 用输入数据训练神经网络。 神经网络用于重新调整输入数据。 确定重新缩放值的错误，并使用误差的邻域调整神经网络的连接权重。

公开(公告)号：US06803933B1

公开(公告)日：2004-10-12

申请号：US10463371

申请日：2003-06-16

Applicant: Carl Staelin ,  Ruth Bergman ,  Mani Fischer ,  Darryl Greig ,  Marie Vans ,  Gregory Braverman ,  Shlomo Harush ,  Eyal Shelef

Inventor： Carl Staelin ,  Ruth Bergman ,  Mani Fischer ,  Darryl Greig ,  Marie Vans ,  Gregory Braverman ,  Shlomo Harush ,  Eyal Shelef

IPC: B41J2385

CPC classification number: H04N1/4078 ,  H04N1/603

Abstract: The present invention generally provides methods and systems for printing. A statistical learning system is used to determine dot gain.

Abstract translation: 本发明通常提供用于打印的方法和系统。 统计学习系统用于确定网点增益。

公开(公告)号：US06442555B1

公开(公告)日：2002-08-27

申请号：US09428136

申请日：1999-10-26

Applicant: Oded Shmueli ,  Michael Elad ,  Darryl Greig ,  Carl Staelin

Inventor： Oded Shmueli ,  Michael Elad ,  Darryl Greig ,  Carl Staelin

IPC: G06F1730

CPC classification number: G06F17/3071 ,  G06K9/00463 ,  Y10S707/99933 ,  Y10S707/99936 ,  Y10S707/99942

Abstract: A method of quickly and automatically comparing a new document to a large number of previously seen documents and identifying the document type. First, provide a plurality of document type distributions, each document type distribution describes layout characteristics of an independent document type and may include a plurality of data points. Each document type distribution includes data derived from at least one basis document signature which may include data defining pixels of a low-resolution image of the independent basis document resolved to between 1 and 75 dots per inch or may include document segmentation data derived from the independent basis document. Next provide a new electronic document. Then create new document signature from the new electronic document. Next, distances between the new document signature and each of the plurality of document type distributions are calculated using an algorithm based on a Bayesian framework for a Gaussian distribution. The distances calculated may be Euclidean distances or may be Mahalanobis distances. Additionally, calculating the distances may include weighting the value given each of a plurality of data points in the document signatures based on the usefulness of each of the plurality of data points in distinguishing between the document signatures. Next, select at least one candidate document type for the new electronic document from among the independent document types described by the plurality of document type distributions. The selection of the at least one candidate document type may include selecting a preselected fixed number of the independent document types or may include selecting the independent document types described by those of the plurality of document type distributions having calculated distances that are within a preselected threshold distance of the smallest of the distances calculated. In addition, the invention provides for a program storage medium readable by computer, tangibly embodying a program of instructions executable by the computer to perform the method steps described above.

公开(公告)号：US08433106B2

公开(公告)日：2013-04-30

申请号：US12259776

申请日：2008-10-28

Applicant: Clay Jessen ,  Daniel Bloom ,  Darryl Greig

Inventor： Clay Jessen ,  Daniel Bloom ,  Darryl Greig

IPC: G06K9/00

CPC classification number: G06K9/00261 ,  H04N5/232 ,  H04N5/23219

Abstract: Systems, methods, and other embodiments associated with increasing face detection speed are described. One example method includes determining whether to control a face detection process to selectively perform a face detection in a patch in a digital image. The face detection may be based, at least in part, on determining whether the patch overlaps a face previously identified by the face detection process. The example method may also include providing a signal to control the face detection process to perform the face detection upon determining that a patch overlap does not exceed an overlap factor.

Abstract translation: 描述了与增加面部检测速度相关联的系统，方法和其他实施例。 一个示例性方法包括确定是否控制面部检测处理以选择性地执行数字图像中的贴片中的面部检测。 至少部分地，面部检测可以基于确定贴片是否与先前由面部检测处理识别的面重叠。 示例性方法还可以包括提供信号以在确定贴片重叠不超过重叠因子的情况下控制面部检测处理以执行面部检测。