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    • 1. 发明授权
    • Head-pose invariant recognition of facial attributes
    • 面部特征的头姿不变识别
    • US09547808B2
    • 2017-01-17
    • US14802587
    • 2015-07-17
    • Emotient, Inc.
    • Jacob WhitehillJavier R. MovellanIan Fasel
    • G06K9/00G06K9/62
    • G06K9/00302G06K9/00281G06K9/00308G06K9/3208G06K9/627G06K9/6292G06K2209/27
    • A system facilitates automatic recognition of facial expressions or other facial attributes. The system includes a data access module and an expression engine. The expression engine further includes a set of specialized expression engines, a pose detection module, and a combiner module. The data access module accesses a facial image of a head. The set of specialized expression engines generates a set of specialized expression metrics, where each specialized expression metric is an indication of a facial expression of the facial image assuming a specific orientation of the head. The pose detection module determines the orientation of the head from the facial image. Based on the determined orientation of the head and the assumed orientations of each of the specialized expression metrics, the combiner module combines the set of specialized expression metrics to determine a facial expression metric for the facial image that is substantially invariant to the head orientation.
    • 系统便于自动识别面部表情或其他面部属性。 该系统包括数据访问模块和表达式引擎。 表达式引擎还包括一组专用表达式引擎,姿态检测模块和组合器模块。 数据访问模块访问头部的面部图像。 专门的表达式引擎集合产生一组特殊的表达度量,其中每个专门的表达度量是表示头部的特定取向的面部图像的面部表情的指示。 姿势检测模块从脸部图像确定头部的方向。 基于所确定的头部方向和每个专门表达度量的假定取向,组合器模块组合了一组专用表情度量以确定面部图像的面部表情度量,该面部图像基本上不变于头部方向。
    • 8. 发明申请
    • HEAD-POSE INVARIANT RECOGNITION OF FACIAL ATTRIBUTES
    • 头部不确定性的识别特征属性
    • US20150324632A1
    • 2015-11-12
    • US14802587
    • 2015-07-17
    • Emotient, Inc.
    • Jacob WhitehillJavier R. MovellanIan Fasel
    • G06K9/00G06K9/66
    • G06K9/00302G06K9/00281G06K9/00308G06K9/3208G06K9/627G06K9/6292G06K2209/27
    • A system facilitates automatic recognition of facial expressions or other facial attributes. The system includes a data access module and an expression engine. The expression engine further includes a set of specialized expression engines, a pose detection module, and a combiner module. The data access module accesses a facial image of a head. The set of specialized expression engines generates a set of specialized expression metrics, where each specialized expression metric is an indication of a facial expression of the facial image assuming a specific orientation of the head. The pose detection module determines the orientation of the head from the facial image. Based on the determined orientation of the head and the assumed orientations of each of the specialized expression metrics, the combiner module combines the set of specialized expression metrics to determine a facial expression metric for the facial image that is substantially invariant to the head orientation.
    • 系统便于自动识别面部表情或其他面部属性。 该系统包括数据访问模块和表达式引擎。 表达式引擎还包括一组专用表达式引擎,姿态检测模块和组合器模块。 数据访问模块访问头部的面部图像。 专门的表达式引擎集合产生一组特殊的表达度量,其中每个专门的表达度量是表示头部的特定取向的面部图像的面部表情的指示。 姿势检测模块从脸部图像确定头部的方向。 基于所确定的头部方向和每个专门表达度量的假定取向,组合器模块组合了一组专用表情度量以确定面部图像的面部表情度量,该面部图像基本上不变于头部方向。