Intelligent image segmentation system and method for accurate target detection
    1.
    发明授权
    Intelligent image segmentation system and method for accurate target detection 失效
    智能图像分割系统及方法,用于精确的目标检测

    公开(公告)号:US08254634B2

    公开(公告)日:2012-08-28

    申请号:US12395217

    申请日:2009-02-27

    IPC分类号: G06K9/00

    CPC分类号: G06K9/3241

    摘要: Methods and apparatus are provided for dividing an image into a plurality of image chips for presentation on a display. Potential objects of interest are detected within an image by detecting features therein that correspond to objects of interest. The image is uniformly divided into a plurality of preliminary image chips. Triage image chips are generated by automatically adjusting each preliminary image chip such that the potential objects of interest detected within each preliminary image chip are at least substantially centered in each preliminary image chip.

    摘要翻译: 提供了用于将图像分割成多个图像芯片以在显示器上呈现的方法和装置。 通过检测与图像中的特征相对应的感兴趣对象,在图像内检测到感兴趣的潜在对象。 图像被均匀地划分为多个预备图像码片。 通过自动调整每个初步图像芯片,使得在每个初步图像芯片内检测到的感兴趣的目标物体在每个初步图像芯片中至少基本居中,产生分类图像芯片。

    AUTOMATED TARGET DETECTION AND RECOGNITION SYSTEM AND METHOD
    2.
    发明申请
    AUTOMATED TARGET DETECTION AND RECOGNITION SYSTEM AND METHOD 有权
    自动目标检测和识别系统及方法

    公开(公告)号:US20110007940A1

    公开(公告)日:2011-01-13

    申请号:US12499707

    申请日:2009-07-08

    IPC分类号: G06K9/00

    摘要: Methods and apparatus are provided for recognizing particular objects of interest in a captured image. One or more salient features that are correlative to an object of interest are detected within a captured image. The captured image is segmented into one or more regions of interest that include a detected salient feature. A covariance appearance model is generated for each of the one or more regions of interest, and first and second comparisons are conducted. The first comparisons comprise comparing each of the generated covariance appearance models to a plurality of stored covariance appearance models, and the second comparisons comprise comparing each of the generated covariance appearance models to each of the other generated covariance appearance model. Based on the first and second comparisons, a determination is made as to whether each of the one or more detected salient features is a particular object of interest.

    摘要翻译: 提供了用于识别拍摄图像中的特定感兴趣对象的方法和装置。 在捕获的图像内检测与感兴趣对象相关的一个或多个显着特征。 捕获的图像被分割成包括检测到的显着特征的一个或多个感兴趣区域。 为感兴趣的一个或多个区域中的每一个生成协方差外观模型,并进行第一和第二比较。 第一比较包括将生成的协方差外观模型中的每一个与多个存储的协方差外观模型进行比较,并且第二比较包括将所产生的协方差外观模型中的每一个与每个其他生成的协方差外观模型进行比较。 基于第一和第二比较,确定一个或多个检测到的突出特征中的每一个是否是特定的感兴趣对象。

    Determining probabilities from compared covariance appearance models to detect objects of interest in images
    3.
    发明授权
    Determining probabilities from compared covariance appearance models to detect objects of interest in images 有权
    从比较的协方差外观模型确定概率以检测图像中感兴趣的对象

    公开(公告)号:US08358855B2

    公开(公告)日:2013-01-22

    申请号:US12499707

    申请日:2009-07-08

    IPC分类号: G06K9/68

    摘要: Methods and apparatus are provided for recognizing particular objects of interest in a captured image. One or more salient features that are correlative to an object of interest are detected within a captured image. The captured image is segmented into one or more regions of interest that include a detected salient feature. A covariance appearance model is generated for each of the one or more regions of interest, and first and second comparisons are conducted. The first comparisons comprise comparing each of the generated covariance appearance models to a plurality of stored covariance appearance models, and the second comparisons comprise comparing each of the generated covariance appearance models to each of the other generated covariance appearance model. Based on the first and second comparisons, a determination is made as to whether each of the one or more detected salient features is a particular object of interest.

    摘要翻译: 提供了用于识别拍摄图像中的特定感兴趣对象的方法和装置。 在捕获的图像内检测与感兴趣对象相关的一个或多个显着特征。 捕获的图像被分割成包括检测到的显着特征的一个或多个感兴趣区域。 为感兴趣的一个或多个区域中的每一个生成协方差外观模型,并进行第一和第二比较。 第一比较包括将生成的协方差外观模型中的每一个与多个存储的协方差外观模型进行比较,并且第二比较包括将所产生的协方差外观模型中的每一个与每个其他生成的协方差外观模型进行比较。 基于第一和第二比较,确定一个或多个检测到的突出特征中的每一个是否是特定的感兴趣对象。

    INTELLIGENT IMAGE SEGMENTATION SYSTEM AND METHOD FOR ACCURATE TARGET DETECTION
    4.
    发明申请
    INTELLIGENT IMAGE SEGMENTATION SYSTEM AND METHOD FOR ACCURATE TARGET DETECTION 失效
    智能图像分割系统和精确目标检测方法

    公开(公告)号:US20100220904A1

    公开(公告)日:2010-09-02

    申请号:US12395217

    申请日:2009-02-27

    IPC分类号: G06K9/00 G06K9/46

    CPC分类号: G06K9/3241

    摘要: Methods and apparatus are provided for dividing an image into a plurality of image chips for presentation on a display. Potential objects of interest are detected within an image by detecting features therein that correspond to objects of interest. The image is uniformly divided into a plurality of preliminary image chips. Triage image chips are generated by automatically adjusting each preliminary image chip such that the potential objects of interest detected within each preliminary image chip are at least substantially centered in each preliminary image chip.

    摘要翻译: 提供了用于将图像分割成多个图像芯片以在显示器上呈现的方法和装置。 通过检测与图像中的特征相对应的感兴趣对象,在图像内检测出感兴趣的潜在对象。 图像被均匀地划分为多个预备图像码片。 通过自动调整每个初步图像芯片,使得在每个初步图像芯片内检测到的感兴趣的目标物体在每个初步图像芯片中至少基本居中,产生分类图像芯片。

    Standoff iris recognition system
    5.
    发明授权
    Standoff iris recognition system 有权
    支架虹膜识别系统

    公开(公告)号:US08098901B2

    公开(公告)日:2012-01-17

    申请号:US11675424

    申请日:2007-02-15

    申请人: Rida Hamza

    发明人: Rida Hamza

    IPC分类号: G06K9/00

    CPC分类号: G06K9/00597 G06K9/0061

    摘要: An iris recognition system having pupil and iris border conditioning prior to iris mapping and analysis. The system may obtain and filter an image of an eye. A pupil of the mage may be selected and segmented. Portions of the pupil border can be evaluated and pruned. A curve may be fitted on at least the invalid portions of the pupil border. The iris of the eye with an acceptable border of the pupil as an inside border of the iris may be selected from the image. The iris outside border having sclera and eyelash/lid boundaries may be grouped using a cluster angular range based on eye symmetry. The sclera boundaries may be fitted with a curve. The eyelash/lid boundaries may be extracted or masked. The iris may be segmented, mapped and analyzed.

    摘要翻译: 虹膜识别系统在虹膜映射和分析之前具有瞳孔和虹膜边界调节。 该系统可以获得和过滤眼睛的图像。 可以选择并分割法师的学生。 瞳孔边界的部分可以被评估和修剪。 至少可以在瞳孔边界的无效部分上安装曲线。 可以从图像中选择具有作为虹膜的内部边界的瞳孔的可接受边界的眼睛的虹膜。 可以使用基于眼睛对称性的丛集角度范围对具有巩膜和睫毛/盖子边界的边界之外的虹膜进行分组。 巩膜边界可能配有曲线。 睫毛/盖子的边界可以被抽出或掩蔽。 虹膜可能被分割,映射和分析。

    IRIS AND OCULAR RECOGNITION SYSTEM USING TRACE TRANSFORMS
    6.
    发明申请
    IRIS AND OCULAR RECOGNITION SYSTEM USING TRACE TRANSFORMS 有权
    使用轨迹变换的IRIS和OCULAR识别系统

    公开(公告)号:US20100316263A1

    公开(公告)日:2010-12-16

    申请号:US12814232

    申请日:2010-06-11

    申请人: Rida Hamza

    发明人: Rida Hamza

    IPC分类号: G06K9/62

    摘要: An iris and ocular recognition system using trace transforms. The system may acquire an eye image and provide it to an image quality metrics determination module for a quality evaluation to indicate whether the image goes to an iris recognition module and/or a trace transform module. The trace transform may also be used as a pre-filtering mechanism to determine a small database from bigger datasets. If the quality evaluation reaches a predefined quality measure, the image may be passed immediately to the iris recognition module. If not, the image may go to the trace transform module. If the quality evaluation is too poor for the latter, the image may be rejected subject to rehabilitation or reacquisition. A processed image from the iris recognition module may result in an only best match. A processed image from the trace transform module may be lined up instead with the most probable matches.

    摘要翻译: 使用轨迹变换的虹膜和眼睛识别系统。 系统可以获取眼睛图像并将其提供给用于质量评估的图像质量度量确定模块,以指示图像是否去到虹膜识别模块和/或跟踪变换模块。 跟踪变换也可以用作预过滤机制,以从更大的数据集中确定小数据库。 如果质量评估达到预定义的质量度量,则图像可以立即被传递到虹膜识别模块。 如果不是,图像可能会转到跟踪变换模块。 如果质量评估对后者质量评估太差,则图像可能会因复原或重新获取而被拒绝。 来自虹膜识别模块的经处理的图像可能会导致最佳匹配。 来自跟踪变换模块的经处理的图像可以排列成与最可能的匹配。

    INDEXING AND DATABASE SEARCH SYSTEM
    7.
    发明申请
    INDEXING AND DATABASE SEARCH SYSTEM 有权
    索引和数据库搜索系统

    公开(公告)号:US20070276853A1

    公开(公告)日:2007-11-29

    申请号:US11681751

    申请日:2007-03-02

    申请人: Rida Hamza

    发明人: Rida Hamza

    IPC分类号: G06F17/30

    摘要: An indexing and database search system having a system to expedite a process of matching a subject to millions (more or less) of templates within a database. Such matching or retrieval may use a subject code as a query or probe and then find a similarity measure for the features of codes or templates in the database. A multi-stage clustering process may be used to compress codes and/or templates.

    摘要翻译: 索引和数据库搜索系统,其具有加速将数据库中的数百万(或多或少)模板匹配的过程的系统。 这种匹配或检索可以使用主题代码作为查询或探针,然后找到数据库中的代码或模板的特征的相似性度量。 可以使用多阶段聚类过程来压缩代码和/或模板。

    IRIS RECOGNITION SYSTEM HAVING IMAGE QUALITY METRICS
    8.
    发明申请
    IRIS RECOGNITION SYSTEM HAVING IMAGE QUALITY METRICS 有权
    具有图像质量度量的IRIS识别系统

    公开(公告)号:US20070274570A1

    公开(公告)日:2007-11-29

    申请号:US11681614

    申请日:2007-03-02

    申请人: Rida Hamza

    发明人: Rida Hamza

    IPC分类号: G06K9/00

    CPC分类号: G06K9/0061 G06K9/036

    摘要: An iris recognition system implementing image quality metrics to assess the quality of an acquired eye image for reliable operation. Images with low image quality may be rejected or flagged based upon the application. The image quality may be determined with a preprocessing module in the recognition system. The processing may be configured based on a quality assessment

    摘要翻译: 虹膜识别系统实现图像质量度量以评估所获得的眼睛图像的质量以进行可靠的操作。 具有低图像质量的图像可能会根据应用拒绝或标记。 可以用识别系统中的预处理模块来确定图像质量。 可以基于质量评估来配置处理

    Iris and ocular recognition system using trace transforms
    9.
    发明授权
    Iris and ocular recognition system using trace transforms 有权
    虹膜和眼睛识别系统使用痕迹转换

    公开(公告)号:US08472681B2

    公开(公告)日:2013-06-25

    申请号:US12814232

    申请日:2010-06-11

    申请人: Rida Hamza

    发明人: Rida Hamza

    IPC分类号: G06K9/00 G06K9/40 G06K9/44

    摘要: An iris and ocular recognition system using trace transforms. The system may acquire an eye image and provide it to an image quality metrics determination module for a quality evaluation to indicate whether the image goes to an iris recognition module and/or a trace transform module. The trace transform may also be used as a pre-filtering mechanism to determine a small database from bigger datasets. If the quality evaluation reaches a predefined quality measure, the image may be passed immediately to the iris recognition module. If not, the image may go to the trace transform module. If the quality evaluation is too poor for the latter, the image may be rejected subject to rehabilitation or reacquisition. A processed image from the iris recognition module may result in an only best match. A processed image from the trace transform module may be lined up instead with the most probable matches.

    摘要翻译: 使用轨迹变换的虹膜和眼睛识别系统。 系统可以获取眼睛图像并将其提供给用于质量评估的图像质量度量确定模块,以指示图像是否去到虹膜识别模块和/或跟踪变换模块。 跟踪变换也可以用作预过滤机制,以从更大的数据集中确定小数据库。 如果质量评估达到预定义的质量度量,则图像可以立即被传递到虹膜识别模块。 如果不是,图像可能会转到跟踪变换模块。 如果质量评估对后者质量评估太差,则图像可能会因复原或重新获取而被拒绝。 来自虹膜识别模块的经处理的图像可能会导致最佳匹配。 来自跟踪变换模块的经处理的图像可以排列成与最可能的匹配。

    Iris recognition system using quality metrics
    10.
    发明授权
    Iris recognition system using quality metrics 有权
    虹膜识别系统使用质量指标

    公开(公告)号:US08280119B2

    公开(公告)日:2012-10-02

    申请号:US12329346

    申请日:2008-12-05

    申请人: Rida Hamza

    发明人: Rida Hamza

    IPC分类号: G06K9/00

    CPC分类号: G06K9/036 G06K9/00597

    摘要: A system for iris recognition using a set of quality metrics, which may include eye image validation, blur assessment, offset, gazing, obscuration, visibility, and the like. These metrics may be established as quantitative measures which can automatically assess the quality of eye images before they are processed for recognition purposes. Quadrant iris analysis, histograms, map processing enhancements, and multi-band analysis may be used in aiding in the iris recognition approach.

    摘要翻译: 一种用于虹膜识别的系统,其使用一组质量度量,其可以包括眼睛图像验证,模糊评估,偏移,注视,遮蔽,可视性等。 这些指标可以被建立为定量的措施,它们可以在识别之前自动评估眼睛图像的质量。 虹膜虹膜分析,直方图,地图处理增强和多波段分析可用于帮助虹膜识别方法。