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    DETECTION AND DECODING METHOD
    2.
    发明申请
    DETECTION AND DECODING METHOD 审中-公开
    检测和解码方法

    公开(公告)号：WO2014066928A1

    公开(公告)日：2014-05-08

    申请号：PCT/AU2013/001204

    申请日：2013-10-17

    Applicant: COOPERATIVE VISION SYSTEMS PTY LTD

    Inventor： LANDGREBE, Thomas, Christopher, Wolfgang ,  LE VIEUX, Andre, Paul

    IPC: G06K9/78 ,  G06T7/00

    CPC classification number: G06K7/1443 ,  G06K9/2054 ,  G06K9/4652 ,  G06K9/56 ,  G06K19/06037

    Abstract: An electronic method of detecting a visual object in an image of a scene comprises sampling the image at sampling points with a sampling template defining a fixed set of image detection offsets relative to any sampling point at which the image is sampled, each of the set of image detection offsets being related to another one of the image detection offsets, obtaining at least one colour value for each image detection offset relative to any sampling point, forming a set of data values by, for each image detection offset, comparing each at least one colour value with a corresponding colour value of the related image detection offset to obtain a data value, and upon a set of data values obtained for a sample point satisfying a detection condition for the visual object, determining that the visual object has been located.

    Abstract translation: 一种用于检测场景图像中的视觉对象的电子方法包括：在采样点对采样点进行采样，该采样模板相对于采样图像的任何采样点定义一组固定的图像检测偏移， 图像检测偏移与图像检测偏移中的另一个相关，获得相对于任何采样点的每个图像检测偏移的至少一个颜色值，通过针对每个图像检测偏移形成一组数据值，比较每个至少一个 颜色值与相关图像检测偏移的对应颜色值，以获得数据值，以及对于满足视觉对象的检测条件的采样点获得的一组数据值，确定可视对象已经定位。

    ROBUST INTEREST POINT DETECTOR AND DESCRIPTOR
    4.
    发明申请
    ROBUST INTEREST POINT DETECTOR AND DESCRIPTOR 审中-公开
    可靠的兴趣点检测器和描述符

    公开(公告)号：WO2007128452A3

    公开(公告)日：2008-05-22

    申请号：PCT/EP2007003811

    申请日：2007-04-30

    Applicant: TOYOTA MOTOR EUROP NV ,  UNIV LEUVEN KATH ,  EIDGENOESS TECH HOCHSCHULE ,  FUNAYAMA RYUKI ,  YANAGIHARA HIROMICHI ,  VAN GOOL LUC ,  TUYTELAARS TINNE ,  BAY HERBERT

    Inventor： FUNAYAMA RYUKI ,  YANAGIHARA HIROMICHI ,  VAN GOOL LUC ,  TUYTELAARS TINNE ,  BAY HERBERT

    IPC: G06K9/46

    CPC classification number: G06K9/4671 ,  G06K9/4614 ,  G06K9/56

    Abstract: Methods and apparatus for operating on images are described, in particular methods and apparatus for interest point detection and/or description working under different scales and with different rotations, e.g. for scale- invariant and rotation-invariant interest point detection and/or description. The present invention can provide improved or alternative apparatus and methods for matching interest points either in the same image or in a different image. The present invention can provide alternative or improved software for implementing any of the methods of the invention. The present invention can provide alternative or improved data structures created by multiple filtering operations to generate a plurality of filtered images as well as data structures for storing the filtered images themselves, e.g. as stored in memory or transmitted through a network. The present invention can provide alternative or improved data structures including descriptors of interest points in images, e.g. as stored in memory or transmitted through a network as well as datastructures associating such descriptors with an original copy of the image or an image derived therefrom, e.g. a thumbnail image.

    Abstract translation: 描述了用于在图像上操作的方法和装置，特别是用于在不同尺度和不同旋转下进行兴趣点检测和/或描述的方法和装置，例如， 用于尺度不变和旋转不变的兴趣点检测和/或描述。 本发明可以提供用于在相同图像或不同图像中匹配兴趣点的改进的或替代的装置和方法。 本发明可以提供用于实现本发明的任何方法的替代或改进的软件。 本发明可以提供通过多次滤波操作产生的替代或改进的数据结构，以产生多个滤波图像，以及用于存储滤波图像本身的数据结构，例如， 存储在存储器中或通过网络传输。 本发明可以提供替代或改进的数据结构，包括图像中的兴趣点的描述符，例如。 如存储在存储器中或通过网络传输的数据结构以及将这样的描述符与图像的原始副本或从其导出的图像相关联的数据结构。 缩略图。

    SYSTEM AND METHOD FOR DETECTION OF IMAGE EDGES USING A POLAR ALGORITHM PROCESS
    5.
    发明申请
    SYSTEM AND METHOD FOR DETECTION OF IMAGE EDGES USING A POLAR ALGORITHM PROCESS 审中-公开
    使用极性算法过程检测图像边缘的系统和方法

    公开(公告)号：WO2004019278A3

    公开(公告)日：2004-04-29

    申请号：PCT/US0326140

    申请日：2003-08-21

    Applicant: RAYTHEON CO

    Inventor： KRAUSE LARRY G

    IPC: G06K9/48 ,  G06T5/00 ,  G06T7/00

    CPC classification number: G06K9/56 ,  G06K9/0063 ,  G06K9/4609 ,  G06T7/12 ,  G06T2207/10048

    Abstract: An edge detection system (100) and method (500) implement a recursive polar algorithm process to generate an edge image from an input image. The edge detection system may include a polar filter (106) to recursively perform low-pass filtering along edge contours of a gradient pixel grid and generate a gradient image output. An edge thinner (108) may be included to find gradient field peaks along a direction of gradient vectors of the gradient image output and generate thinned gradient pixels. An edge path segmenter (110) may group the thinned gradient pixels into edge segments, and a segment classifier (112) may determine whether the edge segments are edge paths or clutter. The edge detection system and method may improve automated image processing in medical diagnostics, reconnaissance, missile guidance, security systems, access control systems (e.g., face recognition), navigation, geographic mapping, manufacturing quality inspection, robot vision, and search and rescue.

    Abstract translation: 边缘检测系统（100）和方法（500）实现递归极性算法处理以从输入图像生成边缘图像。 边缘检测系统可以包括极化滤波器（106），以递归地对梯度像素网格的边缘轮廓进行低通滤波并产生梯度图像输出。 可以包括边缘更薄（108）以沿着梯度图像输出的梯度向量的方向找到梯度场峰，并生成变薄的梯度像素。 边缘路径分割器（110）可以将变薄的梯度像素分组成边缘段，并且段分类器（112）可以确定边缘段是边缘路径还是杂波。 边缘检测系统和方法可以改善医疗诊断，侦察，导弹指导，安全系统，门禁系统（例如面部识别），导航，地理测绘，制造质量检查，机器人视觉和搜索和救援中的自动化图像处理。

    METHOD AND SYSTEM FOR DETECTION OF SUSPICIOUS LESIONS IN DIGITAL MAMMOGRAMS
    6.
    发明申请
    METHOD AND SYSTEM FOR DETECTION OF SUSPICIOUS LESIONS IN DIGITAL MAMMOGRAMS 审中-公开
    用于检测数字乳腺癌中可疑病例的方法和系统

    公开(公告)号：WO0013134A9

    公开(公告)日：2000-10-26

    申请号：PCT/US9919573

    申请日：1999-08-26

    Applicant: R2 TECHNOLOGY INC

    Inventor： ROEHRIG JIMMY R ,  DOI TAKESHI ,  KARSSEMEIJER NICO ,  TE BRAKE GUIDO M

    IPC: A61B6/00 ,  G06K9/00 ,  G06K9/32 ,  G06K9/46 ,  G06K9/56 ,  G06T7/00 ,  A61B5/055

    CPC classification number: G06K9/00 ,  A61B6/502 ,  G06K9/3233 ,  G06K9/4633 ,  G06K9/4638 ,  G06K9/56 ,  G06K2209/05 ,  G06T7/0012

    Abstract: A method and system for detecting suspicious portions of digital mammograms (302) by using independently calculated mass (306) and spiculation (304) information is disclosed. The method is for use in a computer aided diagnosis system that is designed to bring suspicious or possibly cancerous lesions in fibrous breast tissue to the attention of a radiologist or other medical professional. In a preferred embodiment, spiculation information (304) and mass information (306) are independently calculated, with the computed spiculation information not being dependent on results of the mass information computation, thus leading to greater reliability. Systems according to a preferred embodiment also compute spiculation information either prior to, or concurrently with, the computation of mass information, thus allowing increased overall system speed.

    Abstract translation: 公开了一种通过使用独立计算的质量（306）和刺激（304）信息来检测数字乳腺X线照片（302）的可疑部分的方法和系统。 该方法用于计算机辅助诊断系统，该系统旨在将纤维性乳房组织中的可疑或可能的癌性病变引起放射科医师或其他医学专业人员的注意。 在优选实施例中，独立地计算刺激信息（304）和质量信息（306），其中所计算的刺激信息不依赖于质量信息计算的结果，从而导致更高的可靠性。 根据优选实施例的系统还在质量信息的计算之前或同时计算密码信息，从而允许增加的整体系统速度。

    METHOD AND APPARATUS FOR FAST DETECTION OF SPICULATED LESIONS IN DIGITAL MAMMOGRAMS
    7.
    发明申请
    METHOD AND APPARATUS FOR FAST DETECTION OF SPICULATED LESIONS IN DIGITAL MAMMOGRAMS 审中-公开
    用于快速检测数位乳腺肿瘤的方法和装置

    公开(公告)号：WO99063478A1

    公开(公告)日：1999-12-09

    申请号：PCT/US1998/011729

    申请日：1998-06-05

    IPC: A61B6/00 ,  G06K9/32 ,  G06K9/46 ,  G06K9/56 ,  G06K9/00

    CPC classification number: G06K9/4633 ,  A61B6/502 ,  G06K9/3233 ,  G06K9/4638 ,  G06K9/56 ,  G06K2209/05

    Abstract: A method and apparatus for the fast detection of spiculated lesions (1608) in a digital mammogram, the method for use in a computer aided diagnosis system for assisting a radiologist in identifying and recognizing the spiculations among a multiplicity of lines corresponding to standard fibrous breast tissue. A line and direction image is created from a digital mammogram, and a region of potential intersection for substantially every pixel in the digital mammogram image is determined. The region of potential intersection for each pixel is a predetermined pattern, such as a high aspect ratio rectangle or trapezoid, positioned around the pixel and rotated in a direction corresponding to direction information for that pixel. The regions of potential intersection are accumulated among the pixels to produce a cumulative array (1606), and information in the cumulative array is processed for identifying spiculations in the digital mammogram.

    Abstract translation: 一种用于在数字乳腺X线照片中快速检测打孔病变（1608）的方法和装置，该方法用于计算机辅助诊断系统，用于辅助放射科医师识别和识别对应于标准纤维性乳房组织的多条线之间的突起 。 从数字乳房X线照片产生线和方向图像，并且确定数字乳房X线照片图像中基本上每个像素的电位交叉区域。 每个像素的电位交叉区域是围绕像素定位并沿与该像素的方向信息相对应的方向旋转的预定图案，例如高宽高比矩形或梯形。 在像素之间累积潜在交叉点的区域以产生累积阵列（1606），并且处理累积阵列中的信息以识别数字乳腺X线照片中的突发。

    SYSTEMS AND METHODS FOR LIVENESS ANALYSIS
    9.
    发明申请
    SYSTEMS AND METHODS FOR LIVENESS ANALYSIS 审中-公开
    用于生活分析的系统和方法

    公开(公告)号：WO2016040487A3

    公开(公告)日：2016-04-28

    申请号：PCT/US2015049195

    申请日：2015-09-09

    Applicant: EYEVERIFY

    Inventor： HIRVONEN DAVID

    IPC: G06K9/00

    CPC classification number: G06T7/0026 ,  G06K9/00221 ,  G06K9/00906 ,  G06K9/56 ,  G06T7/32 ,  G06T7/70 ,  G06T7/90 ,  G06T2207/20024 ,  G06T2207/30196 ,  H04L63/0861 ,  H04N5/2256 ,  H04N5/23293

    Abstract: In a system for determining liveness of an image presented for authentication, a reference signal is rendered on a display, and a reflection of the rendered signal from a target is analyzed to determine liveness thereof. The analysis includes spatially and/or temporally band pass filtering the reflected signal, and determining RGB values for each frame in the reflected signal and/or each pixel in one or more frames of the reflected signal. Frame level and/or pixel-by-pixel correlations between the determined RGB values and the rendered signal are computed, and a determination of whether an image presented is live or fake is made using either or both correlations.

    Abstract translation: 在用于确定呈现给认证的图像的活性的系统中，在显示器上呈现参考信号，并且分析来自目标的渲染信号的反射以确定其活跃性。 分析包括对反射信号进行空间和/或时间带通滤波，并且在反射信号的一个或多个帧中确定反射信号和/或每个像素中的每个帧的RGB值。 计算所确定的RGB值和渲染信号之间的帧级和/或逐像素相关性，并且使用两者之一或两者相关来确定呈现的图像是活的还是假的。

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