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    FACE RECOGNITION WITH COMBINED PCA-BASED DATASETS
    2.
    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。

    IMPROVING FACE RECOGNITION PERFORMANCE USING ADDITIONAL IMAGE FEATURES
    3.
    发明申请
    IMPROVING FACE RECOGNITION PERFORMANCE USING ADDITIONAL IMAGE FEATURES 审中-公开
    使用附加图像特征提高脸部识别性能

    公开(公告)号：WO2011039040A1

    公开(公告)日：2011-04-07

    申请号：PCT/EP2010/063293

    申请日：2010-09-10

    Applicant: TESSERA TECHNOLOGIES IRELAND LIMITED ,  CORCORAN, Peter ,  DRIMBAREAN, Alexandru ,  BIGIOI, Petronel ,  COSTACHE, Gabriel

    Inventor： CORCORAN, Peter ,  DRIMBAREAN, Alexandru ,  BIGIOI, Petronel ,  COSTACHE, Gabriel

    IPC: G06K9/00

    CPC classification number: G06K9/00295 ,  G06K9/00248 ,  G06K9/00261 ,  G06K9/4604

    Abstract: A technique is provided for recognizing faces in an image stream using a digital image acquisition device. A first acquired image is received from an image stream. A first face region is detected within the first acquired image having a given size and a respective location within the first acquired image. First faceprint data uniquely identifying the first face region are extracted along with first peripheral region data around the first face region. The first faceprint and peripheral region data are stored, and the first peripheral region data are associated with the first face region. The first face region is tracked until a face lock is lost. A second face region is detected within a second acquired image from the image stream. Second peripheral region data around the second face region are extracted. The second face region is identified upon matching the first and second peripheral region data.

    Abstract translation: 提供了使用数字图像采集装置识别图像流中的面部的技术。 从图像流接收第一获取的图像。 在具有给定尺寸的第一获取图像内检测到第一面部区域和在第一获取图像内的相应位置。 与第一面部区域周围的第一周围区域数据一起提取唯一地识别第一面部区域的第一面部印刷数据。 存储第一面印和外围区域数据，并且第一周边区域数据与第一面部区域相关联。 跟踪第一个脸部区域，直到脸部锁定丢失。 在来自图像流的第二获取图像内检测第二面部区域。 提取围绕第二面部区域的第二周边区域数据。 在匹配第一和第二外围区域数据时识别第二面部区域。

    FACE RECOGNITION WITH COMBINED PCA-BASED DATASETS
    4.
    发明申请
    FACE RECOGNITION WITH COMBINED PCA-BASED DATASETS 审中-公开
    结合基于PCA的数据集的人脸识别

    公开(公告)号：WO2008015586A2

    公开(公告)日：2008-02-07

    申请号：PCT/IB2007/003985

    申请日：2007-08-02

    Applicant: FOTONATION VISION LIMITED ,  CORCORAN, PETER ,  COSTACHE, Gabriel, N.

    Inventor： CORCORAN, PETER ,  COSTACHE, Gabriel, N.

    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: 提供了用于处理两个或更多个脸部图像集合的脸部识别方法。 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所存储的第一集合的表示来确定修改的表示框架。 第一个和第二个收藏组合在一起而不使用原始面部图像样本。 使用修改后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些面部图像（如果有的话）匹配当前面部图像。

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