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    • 1. 发明申请
    • FACE RECOGNITION WITH COMBINED PCA-BASED DATASETS
    • 与组合的基于PCA的数据库的面部识别
    • US20090238410A1
    • 2009-09-24
    • US12418987
    • 2009-04-06
    • Peter CorcoranGabriel N. Costache
    • Peter CorcoranGabriel N. Costache
    • H04N5/222G06K9/00
    • G06K9/6247G06K9/00275G06K9/629
    • 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.
    • 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。
    • 2. 发明授权
    • Face recognition with combined PCA-based datasets
    • 基于PCA的数据集的人脸识别
    • US07515740B2
    • 2009-04-07
    • US11833224
    • 2007-08-02
    • Peter CorcoranGabriel N. Costache
    • Peter CorcoranGabriel N. Costache
    • G06K9/00
    • G06K9/6247G06K9/00275G06K9/629
    • 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.
    • 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。
    • 3. 发明申请
    • Face Recognition with Combined PCA-Based Datasets
    • 基于PCA的数据集的人脸识别
    • US20080031498A1
    • 2008-02-07
    • US11833224
    • 2007-08-02
    • Peter CorcoranGabriel N. Costache
    • Peter CorcoranGabriel N. Costache
    • G06K9/00
    • G06K9/6247G06K9/00275G06K9/629
    • 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.
    • 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。
    • 4. 发明授权
    • Face recognition with combined PCA-based datasets
    • 基于PCA的数据集的人脸识别
    • US08897503B2
    • 2014-11-25
    • US13230768
    • 2011-09-12
    • Peter CorcoranGabriel N. Costache
    • Peter CorcoranGabriel N. Costache
    • G06K9/00G06K9/62
    • G06K9/6247G06K9/00275G06K9/629
    • A representation framework is determined in a face recognition method 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.
    • 在面部识别方法中确定表示框架,用于包括至少主成分分析(PCA)特征的面部图像的第一集合。 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。
    • 6. 发明授权
    • Face recognition with combined PCA-based datasets
    • 基于PCA的数据集的人脸识别
    • US08050466B2
    • 2011-11-01
    • US12418987
    • 2009-04-06
    • Peter CorcoranGabriel N. Costache
    • Peter CorcoranGabriel N. Costache
    • G06K9/00
    • G06K9/6247G06K9/00275G06K9/629
    • 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.
    • 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。