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    • 3. 发明授权
    • Facial recognition
    • 面部识别
    • US08457367B1
    • 2013-06-04
    • US13533811
    • 2012-06-26
    • Michael Andrew SipeHenry Will SchneidermanMichael Christian Nechyba
    • Michael Andrew SipeHenry Will SchneidermanMichael Christian Nechyba
    • G06K9/62
    • G06K9/00221G06K9/00315G06K9/00335G06K9/00899G06K9/00906
    • An example method includes receiving first and second images of a face of a user, where one or both images have been granted a match by facial recognition. The method includes identifying at least one facial landmark in the first image and at least one corresponding facial landmark in the second image, and extracting a first sub-image from the first image, where the first sub-image includes a representation of the at least one facial landmark. The method includes extracting a second sub-image from the second image, where the second sub-image includes a representation of the at least one corresponding facial landmark, detecting a facial gesture by determining whether a sufficient difference exists between the second sub-image and first sub-image to indicate the facial gesture, and determining, based on detecting the facial gesture, whether to deny authentication to the user with respect to accessing functionalities controlled by the computing device.
    • 示例性方法包括接收用户脸部的第一和第二图像,其中一个或两个图像已经通过面部识别被授予匹配。 该方法包括识别第一图像中的至少一个面部标记和第二图像中的至少一个相应的面部界标,以及从第一图像提取第一子图像,其中第一子图像包括至少 一个面部地标。 该方法包括从第二图像提取第二子图像,其中第二子图像包括至少一个相应的面部标记的表示,通过确定第二子图像与第二子图像之间是否存在足够的差异来检测面部手势 用于指示面部手势的第一子图像,以及基于检测面部手势来确定是否拒绝对用户访问由计算设备控制的功能的认证。
    • 5. 发明授权
    • Facial feature detection
    • 面部特征检测
    • US09177130B2
    • 2015-11-03
    • US13736760
    • 2013-01-08
    • Michael Christian NechybaMichael Andrew Sipe
    • Michael Christian NechybaMichael Andrew Sipe
    • G06F21/32G06K9/62G06K9/00
    • G06F21/32G06K9/00221G06K9/6217
    • An example method includes capturing, by a camera of a computing device, an image including at least a face of a user, calculating a face template of the face of the user in the image, and analyzing the face template to determine whether the face includes at least one of a removable facial feature that decreases a level of distinctiveness between two faces and a non-removable facial feature that decreases a level of distinctiveness between two faces. When the face includes the removable facial feature, the method further includes outputting a notification for the user to remove the removable facial feature. When the face includes the non-removable facial feature, the method further includes adjusting a first similarity score threshold to a second similarity score threshold.
    • 一种示例性方法包括:通过计算设备的相机捕获包括用户的至少面部的图像,计算图像中的用户面部的面部模板,以及分析面部模板以确定面部是否包括 减少两个面之间的区别水平的可移除面部特征中的至少一个和减少两个面之间的独特程度的不可移除的面部特征。 当面部包括可移除的面部特征时,该方法还包括输出用于消除可移除面部特征的用户的通知。 当面部包括不可移除的面部特征时,该方法还包括将第一相似度得分阈值调整到第二相似性得分阈值。
    • 6. 发明申请
    • FACIAL FEATURE DETECTION
    • 特征检测
    • US20130247175A1
    • 2013-09-19
    • US13736760
    • 2013-01-08
    • Michael Christian NechybaMichael Andrew Sipe
    • Michael Christian NechybaMichael Andrew Sipe
    • G06F21/32G06K9/62
    • G06F21/32G06K9/00221G06K9/6217
    • An example method includes capturing, by a camera of a computing device, an image including at least a face of a user, calculating a face template of the face of the user in the image, and analyzing the face template to determine whether the face includes at least one of a removable facial feature that decreases a level of distinctiveness between two faces and a non-removable facial feature that decreases a level of distinctiveness between two faces. When the face includes the removable facial feature, the method further includes outputting a notification for the user to remove the removable facial feature. When the face includes the non-removable facial feature, the method further includes adjusting a first similarity score threshold to a second similarity score threshold.
    • 一种示例性方法包括:通过计算设备的相机捕获包括用户的至少面部的图像,计算图像中的用户面部的面部模板,以及分析面部模板以确定面部是否包括 减少两个面之间的区别水平的可移除面部特征中的至少一个和减少两个面之间的独特程度的不可移除的面部特征。 当面部包括可移除的面部特征时,该方法还包括输出用于消除可移除面部特征的用户的通知。 当面部包括不可移除的面部特征时,该方法还包括将第一相似度得分阈值调整到第二相似性得分阈值。
    • 9. 发明授权
    • Facial image quality assessment
    • 面部图像质量评估
    • US08254647B1
    • 2012-08-28
    • US13448113
    • 2012-04-16
    • Michael Christian NechybaMichael Andrew Sipe
    • Michael Christian NechybaMichael Andrew Sipe
    • G06K9/00
    • G06K9/00248G06K9/00912G06K9/036G06K9/228
    • In general, this disclosure describes techniques for assessing image quality of captured facial images. An example method includes capturing an image, generating a facial detection confidence score based in part on a likelihood that a representation of at least a portion of a face is included in the image, generating a facial landmark detection confidence score based at least in part on a likelihood that representations of facial landmarks are accurately identified in the image, and generating a geometric consistency score based at least in part on a difference between a point of intersection between a nose base and a line segment that passes through each eye and a midpoint of the line segment. The method also includes generating an image quality score based in part on a combination of the confidence scores, and the consistency score, and classifying an image quality based on the image quality score.
    • 通常,本公开描述了用于评估所捕获的面部图像的图像质量的技术。 一种示例性方法包括捕获图像,部分地基于面部的至少一部分的表示被包括在图像中的可能性产生面部检测置信度得分,至少部分地基于 在图像中准确地识别面部地标的表示的可能性,并且至少部分地基于鼻基和通过每只眼的线段之间的交点之间的差异产生几何一致性得分,以及 线段。 该方法还包括部分地基于置信分数和一致性分数的组合来生成图像质量得分,并且基于图像质量得分对图像质量进行分类。
    • 10. 发明授权
    • Facial recognition similarity threshold adjustment
    • 面部识别相似度阈值调整
    • US08559684B1
    • 2013-10-15
    • US13645087
    • 2012-10-04
    • Michael Christian Nechyba
    • Michael Christian Nechyba
    • G06K9/00
    • G06K9/6215G06K9/00288G06K9/00926
    • In general, aspects of the present disclosure are directed to techniques for adjusting the threshold similarity score to match the facial features of an authorized user in a facial recognition system. Instead of a uniform threshold similarity score, representations of authorized faces enrolled in the computing device may be assigned a custom threshold similarity score based at least in part on the distinctiveness of the facial features in the representations of the authorized faces. A computing device can determine a distinctiveness of facial features of an enrolling user, and can determine a threshold similarity score associated with the facial features of the enrolling user based at least in part on the distinctiveness of the facial features of the enrolling user.
    • 通常,本公开的方面涉及用于调整阈值相似度得分以匹配面部识别系统中的授权用户的面部特征的技术。 代替统一的阈值相似性得分,可以至少部分地基于授权面部的表示中的面部特征的独特性来为登记在计算设备中的授权面部的表示进行分配。 计算设备可以确定登记用户的面部特征的独特性,并且可以至少部分地基于登记用户的面部特征的独特性来确定与登记用户的面部特征相关联的阈值相似度得分。