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    FACE RECOGNITION WITH COMBINED PCA-BASED DATASETS
    1.
    发明申请
    FACE RECOGNITION WITH COMBINED PCA-BASED DATASETS 审中-公开
    与组合的基于PCA的数据库的面部识别

    公开(公告)号：WO2008015586A3

    公开(公告)日：2008-08-07

    申请号：PCT/IB2007003985

    申请日：2007-08-02

    Applicant: FOTONATION VISION LTD ,  CORCORAN PETER ,  COSTACHE GABRIEL N

    Inventor： CORCORAN PETER ,  COSTACHE GABRIEL N

    IPC: G06K9/62 ,  G06K9/00

    CPC classification number: G06K9/6247 ,  G06K9/00275 ,  G06K9/629

    Abstract: A face recognition method for working with two or more collections of facial images is provided. A representation framework is determined for a first collection of facial images including at least principle component analysis (PCA) features. A representation of said first collection is stored using the representation framework. A modified representation framework is determined based on statistical properties of original facial image samples of a second collection of facial images and the stored representation of the first collection. The first and second collections are combined without using original facial image samples. A representation of the combined image collection (super-collection) is stored using the modified representation framework. A representation of a current facial image, determined in terms of the modified representation framework, is compared with one or more representations of facial images of the combined collection. Based on the comparing, it is determined which, if any, of the facial images within the combined collection matches the current facial image.

    Abstract translation: 提供了一种用于处理两个或更多个面部图像集合的面部识别方法。 针对包括至少主成分分析（PCA）特征的面部图像的第一集合确定表示框架。 使用表示框架存储所述第一集合的表示。 基于面部图像的第二集合的原始面部图像样本的统计特性和第一集合的存储表示来确定修改后的表示框架。 组合第一和第二集合而不使用原始面部图像样本。 使用修改的表示框架存储组合图像集合（超级集合）的表示。 将根据修改的表示框架确定的当前面部图像的表示与组合集合的面部图像的一个或多个表示进行比较。 基于比较，确定组合集合中的哪个面部图像（如果有的话）与当前面部图像匹配。

    ADVANCES IN EXTENDING THE AAM TECHNIQUES FROM GRAYSCALE TO COLOR IMAGES
    2.
    发明申请
    ADVANCES IN EXTENDING THE AAM TECHNIQUES FROM GRAYSCALE TO COLOR IMAGES 审中-公开
    将灰度技术从灰度扩展到彩色图像的进步

    公开(公告)号：WO2008023280A3

    公开(公告)日：2008-11-20

    申请号：PCT/IB2007003724

    申请日：2007-06-12

    Applicant: FOTONATION VISION LTD ,  IONITA MIRCEA ,  CORCORAN PETER

    Inventor： IONITA MIRCEA ,  CORCORAN PETER

    IPC: G06K9/64 ,  G06K9/00

    CPC classification number: G06K9/00 ,  G06K9/00234 ,  G06K9/621

    Abstract: A face detection and/or detection method includes acquiring a digital color image. An active appearance model (AAM) is applied including an interchannel-decorrelated color space. One or more parameters of the model are matched to the image. Face detection results based on the matching and/or different results incorporating the face detection result are communicated.

    Abstract translation: 面部检测和/或检测方法包括获取数字彩色图像。 应用主动外观模型（AAM），包括通道间相关的颜色空间。 该模型的一个或多个参数与图像匹配。 传达基于匹配和/或结合了脸部检测结果的不同结果的脸部检测结果。

    TWO STAGE DETECTION FOR PHOTOGRAPHIC EYE ARTIFACTS
    3.
    发明申请
    TWO STAGE DETECTION FOR PHOTOGRAPHIC EYE ARTIFACTS 审中-公开
    摄影眼镜的两阶段检测

    公开(公告)号：WO2008109644A3

    公开(公告)日：2008-10-23

    申请号：PCT/US2008055864

    申请日：2008-03-05

    Applicant: FOTONATION VISION LTD ,  PRILUTSKY YURY ,  POSOSIN ALEXEI ,  CIUC MIHAI ,  BIGIOI PETRONEL ,  STEINBERG ERAN ,  CORCORAN PETER

    Inventor： PRILUTSKY YURY ,  POSOSIN ALEXEI ,  CIUC MIHAI ,  BIGIOI PETRONEL ,  STEINBERG ERAN ,  CORCORAN PETER

    IPC: G03B15/03

    CPC classification number: G06K9/00597 ,  G06T7/11 ,  G06T2207/20016 ,  G06T2207/30216 ,  H04N1/62 ,  H04N1/624

    Abstract: The detection of red-eye defects is enhanced in digital images for embedded image acquisition and processing systems. A two-stage redeye filtering system includes a speed optimized filter that performs initial segmentation of candidate redeye regions and optionally applies a speed-optimized set of falsing/verification filters to determine a first set of confirmed redeye regions for correction. Some of the candidate regions which are rejected during the first stage are recorded and re-analyzed during a second stage by an alternative set of analysis-optimized filters to determine a second set of confirmed redeye regions.

    Abstract translation: 用于嵌入式图像采集和处理系统的数字图像检测红眼缺陷得到了增强。 两阶段红眼滤波系统包括速度优化滤波器，其执行候选红眼区域的初始分割并且可选地应用速度优化的伪造/验证滤波器组以确定用于校正的第一组经确认的红眼区域。 在第二阶段期间被拒绝的一些候选区域在第二阶段期间被另一组分析优化过滤器记录和重新分析以确定第二组确认的红眼区域。

    ILLUMINATION DETECTION USING CLASSIFIER CHAINS
    5.
    发明申请
    ILLUMINATION DETECTION USING CLASSIFIER CHAINS 审中-公开
    使用分类器链的照明检测

    公开(公告)号：WO2008107112A3

    公开(公告)日：2009-01-08

    申请号：PCT/EP2008001578

    申请日：2008-02-28

    Applicant: FOTONATION VISION LTD ,  BLONK LEENDERT ,  CORCORAN PETER ,  GANGEA MIHNEA

    Inventor： BLONK LEENDERT ,  CORCORAN PETER ,  GANGEA MIHNEA

    IPC: G06K9/00 ,  G06K9/62

    CPC classification number: G06K9/68 ,  G06K9/00261 ,  G06K9/4661 ,  G06K9/6256

    Abstract: A face illumination normalization method includes acquiring a digital image including a face that appears to be illuminated unevenly. One or more uneven illumination classifier programs are applied to the face data to determine the presence of the face within the digital image and/or the uneven illumination condition of the face. The uneven illumination condition may be corrected to thereby generate a corrected face image appearing to have more uniform illumination, for example, to enhance face recognition.

    Abstract translation: 脸部照明归一化方法包括获取包括看起来不均匀照射的脸部的数字图像。 将一个或多个不均匀的照明分类程序应用于面部数据以确定面部在数字图像内的存在和/或脸部的不均匀照明状况。 可以校正不均匀的照明条件，从而生成看起来具有更均匀照明的校正脸部图像，例如以增强脸部识别。

    FOREGROUND/BACKGROUND SEGMENTATION IN DIGITAL IMAGES
    6.
    发明申请
    FOREGROUND/BACKGROUND SEGMENTATION IN DIGITAL IMAGES 审中-公开
    数字图像中的前缀/背景分段

    公开(公告)号：WO2007093199A3

    公开(公告)日：2008-03-27

    申请号：PCT/EP2006008229

    申请日：2006-08-21

    Applicant: FOTONATION VISION LTD ,  CORCORAN PETER ,  CAPATA ADRIAN ,  STEINBERG ERAN ,  BIGIOI PETRONEL

    Inventor： CORCORAN PETER ,  CAPATA ADRIAN ,  STEINBERG ERAN ,  BIGIOI PETRONEL

    IPC: G06T7/00 ,  G06T5/00

    CPC classification number: G06T7/174 ,  G06T7/11 ,  G06T7/194 ,  G06T2207/10148 ,  G06T2207/20021 ,  G06T2207/20052 ,  G06T2207/20224

    Abstract: An implementation efficient method of distinguishing between foreground and background regions of a digital image of a scene comprises capturing two images of nominally the same scene and storing the captured images in DCT-coded format, the first image being taken with the foreground more in focus than the background and the second image being taken with the background more in focus than the foreground. Regions of the first image are assigned as foreground or background according to whether the sum of selected higher order DCT coefficients decreases or increases for the equivalent regions of the second image.

    Abstract translation: 用于区分场景的数字图像的前景和背景区域的实现有效的方法包括捕获名义上相同的场景的两个图像并以DCT编码的格式存储所捕获的图像，第一图像以前景更多地聚焦在比 背景和第二个图像被采取与背景更多的焦点比前景。 根据所选择的较高阶DCT系数的和是否相对于第二图像的等效区域减小或增加，将第一图像的区域分配为前景或背景。

    SEPARATING DIRECTIONAL LIGHTING VARIABILITY IN STATISTICAL FACE MODELLING BASED ON TEXTURE SPACE DECOMPOSITION
    8.
    发明申请
    SEPARATING DIRECTIONAL LIGHTING VARIABILITY IN STATISTICAL FACE MODELLING BASED ON TEXTURE SPACE DECOMPOSITION 审中-公开
    基于纹理空间分解的统计人脸建模中的方向照明可变性

    公开(公告)号：WO2008104549A3

    公开(公告)日：2008-10-30

    申请号：PCT/EP2008052329

    申请日：2008-02-26

    Applicant: FOTONATION VISION LTD ,  IONITA MIRCEA ,  BACIVAROV IOANA ,  CORCORAN PETER

    Inventor： IONITA MIRCEA ,  BACIVAROV IOANA ,  CORCORAN PETER

    IPC: G06K9/00 ,  G06K9/46 ,  G06K9/64

    CPC classification number: G06K9/40 ,  G06K9/00 ,  G06K9/00268 ,  G06K9/00281 ,  G06K9/4661 ,  G06K9/621 ,  G06T5/007 ,  H04N5/2351 ,  H04N5/2354

    Abstract: A technique for determining a characteristic of a face or certain other object within a scene captured in a digital image including acquiring an image and applying a linear texture model that is constructed based on a training data set and that includes a class of objects including a first subset of model components that exhibit a dependency on directional lighting variations and a second subset of model components which are independent of directional lighting variations. A fit of the model to the face or certain other object is obtained including adjusting one or more individual values of one or more of the model components of the linear texture model. Based on the obtained fit of the model to the face or certain other object in the scene, a characteristic of the face or certain other object is determined.

    Abstract translation: 一种用于确定在数字图像中捕捉的场景内的面部或某个其它对象的特性的技术，包括：获取图像并应用基于训练数据集构建的并且包括一类对象的线性纹理模型，所述对象包括第一 表现出对定向照明变化的依赖性的模型组件的子集以及与定向照明变化无关的模型组件的第二子集。 获得模型与脸部或某个其他物体的拟合，包括调整线性纹理模型的一个或多个模型分量的一个或多个单独值。 基于所获得的模型对场景中的脸部或某个其他物体的拟合，确定脸部或某个其他物体的特征。

    IMAGE ACQUISITION METHOD AND APPARATUS
    9.
    发明申请
    IMAGE ACQUISITION METHOD AND APPARATUS 审中-公开
    图像采集方法和设备

    公开(公告)号：WO2007143415A2

    公开(公告)日：2007-12-13

    申请号：PCT/US2007069638

    申请日：2007-06-26

    Applicant: FOTONATION VISION LTD ,  CORCORAN PETER ,  STEINBERG ERAN ,  BIGIOI PETRONEL ,  DRIMBAREAN ALEXANDER ,  ZAMFIR ADRIAN ,  FLOREA CORNELIU

    Inventor： CORCORAN PETER ,  STEINBERG ERAN ,  BIGIOI PETRONEL ,  DRIMBAREAN ALEXANDER ,  ZAMFIR ADRIAN ,  FLOREA CORNELIU

    IPC: G06K9/00 ,  H04N5/76

    CPC classification number: H04N5/23251 ,  H04N5/23248 ,  H04N5/23258 ,  H04N5/23277

    Abstract: An image acquisition sensor of a digital image acquisition apparatus is coupled to imaging optics for acquiring a sequence of images. Images acquired by the sensor are stored. A motion detector causes the sensor to cease capture of an image when the degree of movement in acquiring the image exceeds a threshold. A controller selectively transfers acquired images for storage. A motion extractor determines motion parameters of a selected, stored image. An image re-constructor corrects the selected image with associated motion parameters. A selected plurality of images nominally of the same scene are merged and corrected by the image re- constructor to produce a high quality image of the scene.

    Abstract translation: 数字图像获取装置的图像采集传感器耦合到成像光学器件，用于获取图像序列。 存储由传感器获取的图像。 当获取图像的移动程度超过阈值时，运动检测器使得传感器停止图像的捕获。 控制器选择性地传送获取的图像以进行存储。 运动提取器确定所选存储的图像的运动参数。 图像重建器使用关联的运动参数校正所选择的图像。 通过图像重构装置合并和校正了名义上相同场景的所选择的多个图像，以产生高质量的场景图像。

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