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    • 1. 发明申请
    • FACIAL RECOGNITION WITH SOCIAL NETWORK AIDING
    • 社会网络援助的真实认可
    • WO2011017653A1
    • 2011-02-10
    • PCT/US2010/044771
    • 2010-08-06
    • GOOGLE INC.PETROU, DavidRABINOVICH, AndrewADAM, Hartwig
    • PETROU, DavidRABINOVICH, AndrewADAM, Hartwig
    • G06F17/30G06K9/00
    • G06F17/30268G06F17/30256G06F17/30277G06F17/3053G06F17/30867G06K9/00288G06K9/00677
    • A facial recognition search system identifies one or more likely names (or other personal identifiers) corresponding to the facial image(s) in a query as follows. After receiving the visual query with one or more facial images, the system identifies images that potentially match the respective facial image in accordance with visual similarity criteria. Then one or more persons associated with the potential images are identified. For each identified person, person-specific data comprising metrics of social connectivity to the requester are retrieved from a plurality of applications such as communications applications, social networking applications, calendar applications, and collaborative applications. An ordered list of persons is then generated by ranking the identified persons in accordance with at least metrics of visual similarity between the respective facial image and the potential image matches and with the social connection metrics. Finally, at least one person identifier from the list is sent to the requester.
    • 面部识别搜索系统如下所述在查询中识别与面部图像相对应的一个或多个可能的名称(或其他个人标识符)。 在接收到具有一个或多个面部图像的视觉查询之后,系统根据视觉相似性标准识别潜在地匹配相应面部图像的图像。 然后识别与潜在图像相关联的一个或多个人。 对于每个已识别的人,从诸如通信应用,社交网络应用,日历应用和协作应用的多个应用中检索包括对请求者的社交连接性度量的个人特定数据。 然后通过根据相应的面部图像和潜在图像匹配之间的视觉相似性的度量以及与社会连接度量进行评估来对所识别的人进行排名来生成有序的人物列表。 最后,从列表中至少有一个人标识符被发送到请求者。
    • 3. 发明公开
    • FACIAL RECOGNITION WITH SOCIAL NETWORK AIDING
    • GESICHTSKENNUNG MITHILFE VON SOZIALEN NETZWERKEN
    • EP2462522A1
    • 2012-06-13
    • EP10748165.7
    • 2010-08-06
    • Google Inc.
    • PETROU, DavidRABINOVICH, AndrewADAM, Hartwig
    • G06F17/30G06K9/00
    • G06F17/30268G06F17/30256G06F17/30277G06F17/3053G06F17/30867G06K9/00288G06K9/00677
    • A facial recognition search system identifies one or more likely names (or other personal identifiers) corresponding to the facial image(s) in a query as follows. After receiving the visual query with one or more facial images, the system identifies images that potentially match the respective facial image in accordance with visual similarity criteria. Then one or more persons associated with the potential images are identified. For each identified person, person-specific data comprising metrics of social connectivity to the requester are retrieved from a plurality of applications such as communications applications, social networking applications, calendar applications, and collaborative applications. An ordered list of persons is then generated by ranking the identified persons in accordance with at least metrics of visual similarity between the respective facial image and the potential image matches and with the social connection metrics. Finally, at least one person identifier from the list is sent to the requester.
    • 面部识别搜索系统如下所述在查询中识别与面部图像相对应的一个或多个可能的名称(或其他个人标识符)。 在接收到具有一个或多个面部图像的视觉查询之后,系统根据视觉相似性标准识别潜在地匹配相应面部图像的图像。 然后识别与潜在图像相关联的一个或多个人。 对于每个已识别的人,从诸如通信应用,社交网络应用,日历应用和协作应用的多个应用中检索包括对请求者的社交连接性度量的个人特定数据。 然后通过根据相应的面部图像和潜在图像匹配之间的视觉相似性的度量以及与社会连接度量进行评估来对所识别的人进行排名来生成有序的人物列表。 最后,从列表中至少有一个人标识符被发送到请求者。