SYSTEMS AND METHODS FOR BURST IMAGE DELURRING
    4.
    发明申请
    SYSTEMS AND METHODS FOR BURST IMAGE DELURRING 有权
    用于冲击图像处理的系统和方法

    公开(公告)号:US20170064204A1

    公开(公告)日:2017-03-02

    申请号:US15248895

    申请日:2016-08-26

    Abstract: System and Method for automatically removing blur and noise in a plurality of digital images. The system comprises an electronic processor configured to receive the plurality of digital images, perform motion estimation and motion compensation to align the plurality of digital images, determine an alignment of the plurality of digital images with respect to a reference frame, generate a consistency map based on the alignment of the plurality of digital images with respect to the reference frame, combine the plurality of digital images aligned with respect to the reference frame in the Fourier domain using a quality of alignment information from the consistency map to generate an aggregated frame, and apply a post-processing filter to enhance the quality of the aggregated frame.

    Abstract translation: 用于自动去除多个数字图像中的模糊和噪声的系统和方法。 该系统包括被配置为接收多个数字图像的电子处理器,执行运动估计和运动补偿以对齐多个数字图像,确定多个数字图像相对于参考帧的对准,生成基于一致性的图 在多个数字图像相对于参考帧的对准上,使用来自一致性映射的对准信息的质量将在傅里叶域中与参考帧对准的多个数字图像合并以生成聚合帧,以及 应用后处理过滤器来提高聚合框架的质量。

    RISK DETECTION WITH ACTIONABLE GUIDANCE FOR NEURODEVELOPMENTAL DISORDERS

    公开(公告)号:US20250006380A1

    公开(公告)日:2025-01-02

    申请号:US18759522

    申请日:2024-06-28

    Abstract: The present disclosure describes methods and systems for risk detection and intervention for neurodevelopmental disorders. The method includes assessment of risk level, guidance and treatment recommendations and strategies, and longitudinal monitoring of patients with neurodevelopmental disorders. The assessments and monitoring can be integrated into the patient's health care program and electronic health record (EHR).

    SYSTEMS AND METHODS FOR LARGE SCALE FACE IDENTIFICATION AND VERIFICATION
    9.
    发明申请
    SYSTEMS AND METHODS FOR LARGE SCALE FACE IDENTIFICATION AND VERIFICATION 审中-公开
    用于大规模面部识别和验证的系统和方法

    公开(公告)号:US20170076143A1

    公开(公告)日:2017-03-16

    申请号:US15178993

    申请日:2016-06-10

    Abstract: Methods and systems for large-scale face recognition. The system includes an electronic processor to receive at least one image of a subject of interest and apply at least one subspace model as a splitting binary decision function on the at least one image of the subject of interest. The electronic processor is further configured to generate at least one binary code from the at least one splitting binary decision function. The electronic processor is further configured to apply a code aggregation model to combine the at least one binary codes generated by the at least one subspace model. The electronic processor is further configured to generate an aggregated binary code from the code aggregation model and use the aggregated binary code to provide a hashing scheme.

    Abstract translation: 大面积识别的方法和系统。 该系统包括电子处理器,用于接收感兴趣的对象的至少一个图像,并将至少一个子空间模型应用于感兴趣对象的至少一个图像上的分割二进制决策功能。 电子处理器还被配置为从至少一个分割二进制判定函数生成至少一个二进制码。 电子处理器还被配置为应用代码聚合模型来组合由至少一个子空间模型生成的至少一个二进制码。 电子处理器还被配置为从代码聚合模型生成聚合的二进制代码,并使用聚合的二进制代码来提供散列方案。

    Methods, systems, and computer readable media for automated attention assessment

    公开(公告)号:US11580874B1

    公开(公告)日:2023-02-14

    申请号:US16678789

    申请日:2019-11-08

    Abstract: The subject matter described herein includes methods, systems, and computer readable media for automated attention assessment. According to one method, a method for automated attention assessment includes obtaining head and iris positions of a user using a camera while the user watches a display screen displaying a video containing dynamic region-based stimuli designed for identifying a neurodevelopmental and/or psychiatric (neurodevelopmental/psychiatric) disorder; analyzing the head and iris positions of the user to detect attention assessment information associated with the user, wherein the attention assessment information indicates how often and/or how long the user attended to one or more regions of the display screen while watching the video; determining that the attention assessment information is indicative of the neurodevelopmental/psychiatric disorder; and providing, via a communications interface, the attention assessment information, a diagnosis, or related data.

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