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公开(公告)号:US20130279816A1
公开(公告)日:2013-10-24
申请号:US13701632
申请日:2010-06-01
申请人: Wei Zhang , Tong Zhang , Daniel R. Tretter
发明人: Wei Zhang , Tong Zhang , Daniel R. Tretter
IPC分类号: G06K9/62
CPC分类号: G06K9/6267 , G06K9/00234 , G06K9/00362 , G06K9/00671
摘要: A method and system for clustering images, comprising detecting faces in respective images to generate face data, generating a first cluster of images using the face data, the first cluster comprising images with a common face and representing a corresponding person, generating a second cluster of images using clothes data representing a set of clothing signatures, the second cluster comprising images with a common set of clothes, and using the first and second clusters to link an image of the person to the clusters in order to generate a third cluster for the person.
摘要翻译: 一种用于对图像进行聚类的方法和系统,包括检测各个图像中的面部以产生面部数据,使用面部数据生成第一图像簇,所述第一群集包括具有共同脸部并且表示相应人物的图像,生成第二群集 使用表示一组服装签名的衣服数据的图像,所述第二群集包括具有共同衣服的图像,以及使用所述第一和第二群集将所述人的图像链接到所述群集,以便为所述人生成第三群集 。
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公开(公告)号:US20120230545A1
公开(公告)日:2012-09-13
申请号:US13501300
申请日:2009-11-30
申请人: Tong Zhang , Wei Zhang
发明人: Tong Zhang , Wei Zhang
IPC分类号: G06K9/48
CPC分类号: G06K9/6253 , G06K9/00221 , G06K9/6227
摘要: One or more facial recognition categories are assigned to a face region detected in an input image (24). Each of the facial recognition categories is associated with a respective set of one or more different feature extraction modules (66) and a respective set of one or more different facial recognition matching modules (76). For each of the facial recognition categories assigned to the face region, the input image (24) is processed with each of the feature extraction modules (66) associated with the facial recognition category to produce a respective facial region descriptor vector of facial region descriptor values characterizing the face region. A recognition result (96) between the face region and a reference face image (28) is determined based on application of the one or more facial recognition matching modules (76) associated with the facial recognition categories assigned to the face region to the facial region descriptor vectors produced for the face region detected in the input image (24).
摘要翻译: 一个或多个面部识别类别被分配给在输入图像(24)中检测到的面部区域。 每个面部识别类别与相应的一组一个或多个不同的特征提取模块(66)和相应的一组或多个不同的面部识别匹配模块(76)相关联。 对于分配给面部区域的每个面部识别类别,与与面部识别类别相关联的每个特征提取模块(66)处理输入图像(24),以产生面部区域描述符值的相应面部区域描述符向量 表征脸部区域。 基于与分配给面部区域的面部识别类别相关联的一个或多个面部识别匹配模块(76)到面部区域的应用来确定面部区域和参考面部图像(28)之间的识别结果(96) 为在输入图像(24)中检测到的面部区域产生的描述符向量。
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公开(公告)号:US20120170852A1
公开(公告)日:2012-07-05
申请号:US13395458
申请日:2009-09-25
申请人: Wei Zhang , Tong Zhang
发明人: Wei Zhang , Tong Zhang
IPC分类号: G06K9/48
CPC分类号: G06K9/00281
摘要: Interest regions are detected in respective images (18) having face regions labeled with respective facial part labels. For each of the detected interest regions, a respective facial region descriptor vector of facial region descriptor values characterizing the detected interest region is determined. Ones of the facial part labels are assigned to respective ones of the facial region descriptor vectors. For each of the facial part labels, a respective facial part detector (20) that detects facial region descriptor vectors corresponding to the facial part label is built. The facial part detectors (20) are associated with rules (30) that qualify segmentation results of the facial part detectors (20) based on spatial relations between interest regions detected in images and the respective face part labels assigned to the facial part detectors (20). Faces in images are detected and recognized based on application of the facial part detectors (20) to images.
摘要翻译: 在具有用相应的面部标签标记的面部区域的各个图像(18)中检测兴趣区域。 对于每个检测到的感兴趣区域,确定表征检测到的兴趣区域的面部区域描述符值的相应面部区域描述符向量。 面部部分标签的一部分被分配给面部区域描述符向量中的相应的一个。 对于每个面部部分标签,构建检测与面部部分标签相对应的面部区域描述符向量的相应面部部分检测器(20)。 面部部分检测器(20)与根据图像中检测到的兴趣区域和分配给面部部分检测器的相应面部部分标签(20)之间的空间关系来限定面部部分检测器(20)的分割结果的规则(30)相关联 )。 基于面部部件检测器(20)对图像的应用来检测和识别图像中的面部。
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公开(公告)号:US08724902B2
公开(公告)日:2014-05-13
申请号:US12791680
申请日:2010-06-01
申请人: Wei Zhang , Tong Zhang
发明人: Wei Zhang , Tong Zhang
IPC分类号: G06K9/00
CPC分类号: G06K9/00288 , G06F17/30256 , G06F17/30265 , G06K9/00369 , G06K9/4652 , G06K9/6807 , G06K2009/00328
摘要: A method for processing image data comprises generating face data representing a set of detected faces from image data representing a set of images forming a library of images, using the face data to determine a sub-set of the images from the library in which at least the same person appears, and generating at least one clothing signature for the person representing clothes worn by the person in at least one of the images in the sub-set, and using the or each clothing signature, identifying further images of the person in the library.
摘要翻译: 一种用于处理图像数据的方法包括:生成表示一组检测到的面部的面部数据,所述脸部数据表示来自表示形成图像库的一组图像的图像数据,使用所述面部数据来确定来自所述库的图像的子集,其中至少 同一个人出现,并且为代表该人穿着的衣服的人至少在一个子集中的图像中产生至少一个服装签名,并使用该或每个服装签名,识别该人的另外的图像 图书馆。
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公开(公告)号:US20110293188A1
公开(公告)日:2011-12-01
申请号:US12791680
申请日:2010-06-01
申请人: Wei Zhang , Tong Zhang
发明人: Wei Zhang , Tong Zhang
IPC分类号: G06K9/46
CPC分类号: G06K9/00288 , G06F17/30256 , G06F17/30265 , G06K9/00369 , G06K9/4652 , G06K9/6807 , G06K2009/00328
摘要: A method for processing image data comprises generating face data representing a set of detected faces from image data representing a set of images forming a library of images, using the face data to determine a sub-set of the images from the library in which at least the same person appears, and generating at least one clothing signature for the person representing clothes worn by the person in at least one of the images in the sub-set, and using the or each clothing signature, identifying further images of the person in the library.
摘要翻译: 一种用于处理图像数据的方法包括:生成表示一组检测到的面部的面部数据,所述脸部数据表示来自表示形成图像库的一组图像的图像数据,使用所述面部数据来确定来自所述库的图像的子集,其中至少 同一个人出现,并且为代表该人穿着的衣服的人至少在一个子集中的图像中产生至少一个服装签名,并使用该或每个服装签名,识别该人的另外的图像 图书馆。
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公开(公告)号:US09025864B2
公开(公告)日:2015-05-05
申请号:US13700820
申请日:2010-08-02
申请人: Tong Zhang , Wei Zhang , Daniel R Tretter
发明人: Tong Zhang , Wei Zhang , Daniel R Tretter
CPC分类号: G06K9/6256 , G06K9/00677
摘要: The disclosure relates to a system and a method for generating clothing feature data representative of at least one clothing feature of a piece of clothing being worn by the person in a set of images, and training a discriminative clothing classifier using the clothing feature data to provide a personal clothing model that corresponds to the piece of clothing. The personal clothing model can be used to identify additional images in which the person appears.
摘要翻译: 本公开涉及一种用于生成表示人在一组图像中穿着的服装的至少一个服装特征的服装特征数据的系统和方法,并且使用服装特征数据来训练鉴别服装分类器以提供 一件与服装相对应的个人服装模特。 个人服装模型可以用于识别该人出现的其他图像。
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公开(公告)号:US08861873B2
公开(公告)日:2014-10-14
申请号:US13642352
申请日:2010-08-02
申请人: Tong Zhang , Wei Zhang , Daniel Tretter
发明人: Tong Zhang , Wei Zhang , Daniel Tretter
CPC分类号: G06K9/6218 , G06K9/00677
摘要: The disclosure is related to a system and method for learning robust clothing clustering based on a cluster ensemble technique applied to the clothing features of images to improve clustering of images. Different types of clothing features that are complementary to each other are computed to provide extensive description of the clothing in the images. Multiple partitions are computed based on the clothing features to generate a cluster ensemble set. A consensus function is applied to the multiple partitions to generate a final clothing consensus clustering that encompasses the information contained in the multiple partitions. A system and method are disclosed for clustering images based on the clothing of one or more persons in the images.
摘要翻译: 本公开涉及用于基于应用于图像的服装特征的群集合成技术来学习鲁棒服装聚类的系统和方法,以改善图像的聚类。 计算出彼此互补的不同类型的服装功能,以便对图像中的服装进行广泛的描述。 基于服装特征计算多个分区以生成群集集合集。 将共同功能应用于多个分区以生成包含多个分区中包含的信息的最终服装共识聚类。 公开了一种基于图像中的一个或多个人的衣服对图像进行聚类的系统和方法。
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公开(公告)号:US20130064460A1
公开(公告)日:2013-03-14
申请号:US13642352
申请日:2010-08-02
申请人: Tong Zhang , Wei Zhang , Daniel Tretter
发明人: Tong Zhang , Wei Zhang , Daniel Tretter
IPC分类号: G06K9/62
CPC分类号: G06K9/6218 , G06K9/00677
摘要: The disclosure is related to a system and method for learning robust clothing clustering based on a cluster ensemble technique applied to the clothing features of images to improve clustering of images. Different types of clothing features that are complementary to each other are computed to provide extensive description of the clothing in the images. Multiple partitions are computed based on the clothing features to generate a cluster ensemble set. A consensus function is applied to the multiple partitions to generate a final clothing consensus clustering that encompasses the information contained in the multiple partitions. A system and method are disclosed for clustering images based on the clothing of one or more persons in the images.
摘要翻译: 本公开涉及用于基于应用于图像的服装特征的群集合成技术来学习鲁棒服装聚类的系统和方法,以改善图像的聚类。 计算出彼此互补的不同类型的服装功能,以便对图像中的服装进行广泛的描述。 基于服装特征计算多个分区以生成群集集合集。 将共同功能应用于多个分区以生成包含多个分区中包含的信息的最终服装共识聚类。 公开了一种基于图像中的一个或多个人的衣服对图像进行聚类的系统和方法。
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公开(公告)号:US09317783B2
公开(公告)日:2016-04-19
申请号:US13701632
申请日:2010-06-01
申请人: Wei Zhang , Tong Zhang , Daniel R. Tretter
发明人: Wei Zhang , Tong Zhang , Daniel R. Tretter
CPC分类号: G06K9/6267 , G06K9/00234 , G06K9/00362 , G06K9/00671
摘要: A method and system for clustering images, comprising detecting faces in respective images to generate face data, generating a first cluster of images using the face data, the first cluster comprising images with a common face and representing a corresponding person, generating a second cluster of images using clothes data representing a set of clothing signatures, the second cluster comprising images with a common set of clothes, and using the first and second clusters to link an image of the person to the clusters in order to generate a third cluster for the person.
摘要翻译: 一种用于对图像进行聚类的方法和系统,包括检测各个图像中的面部以产生面部数据,使用面部数据生成第一图像簇,所述第一群集包括具有共同脸部并且表示相应人物的图像,生成第二群集 使用表示一组服装签名的衣服数据的图像,所述第二群集包括具有共同衣服的图像,以及使用所述第一和第二群集将所述人的图像链接到所述群集,以便为所述人生成第三群集 。
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公开(公告)号:US08818034B2
公开(公告)日:2014-08-26
申请号:US13501300
申请日:2009-11-30
申请人: Tong Zhang , Wei Zhang
发明人: Tong Zhang , Wei Zhang
CPC分类号: G06K9/6253 , G06K9/00221 , G06K9/6227
摘要: One or more facial recognition categories are assigned to a face region detected in an input image (24). Each of the facial recognition categories is associated with a respective set of one or more different feature extraction modules (66) and a respective set of one or more different facial recognition matching modules (76). For each of the facial recognition categories assigned to the face region, the input image (24) is processed with each of the feature extraction modules (66) associated with the facial recognition category to produce a respective facial region descriptor vector of facial region descriptor values characterizing the face region. A recognition result (96) between the face region and a reference face image (28) is determined based on application of the one or more facial recognition matching modules (76) associated with the facial recognition categories assigned to the face region to the facial region descriptor vectors produced for the face region detected in the input image (24).
摘要翻译: 一个或多个面部识别类别被分配给在输入图像(24)中检测到的面部区域。 每个面部识别类别与相应的一组一个或多个不同的特征提取模块(66)和相应的一组或多个不同的面部识别匹配模块(76)相关联。 对于分配给面部区域的每个面部识别类别,与与面部识别类别相关联的每个特征提取模块(66)处理输入图像(24),以产生面部区域描述符值的相应面部区域描述符向量 表征脸部区域。 基于与分配给面部区域的面部识别类别相关联的一个或多个面部识别匹配模块(76)到面部区域的应用来确定面部区域和参考面部图像(28)之间的识别结果(96) 为在输入图像(24)中检测到的面部区域产生的描述符向量。
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