VEIN MATCHING FOR DIFFICULT BIOMETRIC AUTHENTICATION CASES

    公开(公告)号:WO2019050766A1

    公开(公告)日:2019-03-14

    申请号:PCT/US2018/048791

    申请日:2018-08-30

    Applicant: APPLE INC.

    Abstract: Subepidermal imaging of a face may be used to assess subepidermal features such as blood vessels (e.g., veins) when the device is attempting to authenticate a user in a facial recognition authentication process. Assessment of the subepidermal features may be used to distinguish between users that have closely related facial features (e.g., siblings or twins) in situations where the facial recognition authentication process has less certainty in a decision about recognition of the user's face as an authorized user.

    THREE-DIMENSIONAL HAND TRACKING USING DEPTH SEQUENCES
    2.
    发明申请
    THREE-DIMENSIONAL HAND TRACKING USING DEPTH SEQUENCES 审中-公开
    三维跟踪使用深度序列

    公开(公告)号:WO2016025713A1

    公开(公告)日:2016-02-18

    申请号:PCT/US2015/045055

    申请日:2015-08-13

    Applicant: APPLE INC.

    Abstract: In the field of Human-computer interaction (HCI), i.e., the study of the interfaces between people (i.e., users) and computers, understanding the intentions and desires of how the user wishes to interact with the computer is a very important problem. The ability to understand human gestures, and, in particular, hand gestures, as they relate to HCI, is a very important aspect in understanding the intentions and desires of the user in a wide variety of applications. In this disclosure, a novel system and method for three-dimensional hand tracking using depth sequences is described. Some of the major contributions of the hand tracking system described herein include: 1.) a robust hand detector that is invariant to scene background changes; 2.) a bi-directional tracking algorithm that prevents detected hands from always drifting closer to the front of the scene (i.e., forward along the z-axis of the scene); and 3.) various hand verification heuristics.

    Abstract translation: 在人机交互(HCI)领域,即研究人(即用户)和计算机之间的接口,理解用户希望如何与计算机交互的意图和期望是非常重要的问题。 了解人类手势,特别是手势,与HCI相关的能力在了解用户在各种应用中的意图和欲望方面是非常重要的一个方面。 在本公开中,描述了使用深度序列的三维手跟踪的新颖系统和方法。 本文描述的手动跟踪系统的一些主要贡献包括:1.)对场景背景变化不变的鲁棒手指检测器; 2.)双向跟踪算法,其防止检测到的手总是漂移到靠近场景的前方(即,沿着场景的z轴向前); 和3.)各种手验证启发式。

    PROCESS FOR UPDATING TEMPLATES USED IN FACIAL RECOGNITION

    公开(公告)号:WO2019027504A1

    公开(公告)日:2019-02-07

    申请号:PCT/US2018/015511

    申请日:2018-01-26

    Applicant: APPLE INC.

    Abstract: Templates used for a facial recognition process for authentication of a user to use a device may be updated by the device as features of the user change over time. Features of the user may gradually change over time due to changes such as facial hair changes, haircuts, gaining/losing weight, and/or aging. Updating the templates used for the facial recognition process may allow the user to continue being authenticated as features of the user change without the need for additional enrollments of the user.

    ROBUST FACE DETECTION
    4.
    发明申请

    公开(公告)号:WO2019236286A1

    公开(公告)日:2019-12-12

    申请号:PCT/US2019/033364

    申请日:2019-05-21

    Applicant: APPLE INC.

    Abstract: A neural network may implement a face detection process (250) on a mobile device or computer system. An image captured using a camera on the device may be processed using the face detection process (250). The face detection process may provide a bounding box for the face detected in the image. The face detected in the image may have any orientation. The face detected in the image may include either a whole face of the user or only a partial face of the user. The face detection process may provide face detection that is substantially invariant to exposure in the captured image. The face may also be detected over a wide range of distances between the camera and the face of the user.

    PERIOCULAR FACE RECOGNITION SWITCHING
    8.
    发明公开

    公开(公告)号:EP3623995A1

    公开(公告)日:2020-03-18

    申请号:EP19189665.3

    申请日:2019-08-01

    Applicant: Apple Inc.

    Abstract: A facial recognition authentication process operating on a device may capture an image of a user using a camera on the device. The facial recognition authentication process may include operating a full face facial recognition authentication process on the captured image or operating a partial face facial recognition authentication process on the captured image. The process may determine which process to operate (either full face or partial face) based on an assessment of an amount of occlusion in the captured image. The partial face facial recognition authentication process may be operated when there is at least some occlusion of selected features (e.g., nose and/or mouth) on the user's face in the captured image.

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