USER ADAPTATION FOR BIOMETRIC AUTHENTICATION
    11.
    发明申请

    公开(公告)号:US20200082062A1

    公开(公告)日:2020-03-12

    申请号:US16125360

    申请日:2018-09-07

    Abstract: Techniques and systems are provided for authenticating a user of a device. For example, input biometric data associated with a person can be obtained. A similarity score for the input biometric data can be determined by comparing the input biometric data to a set of templates that include reference biometric data associated with the user. The similarity score can be compared to an authentication threshold. The person is authenticated as the user when the similarity score is greater than the authentication threshold. The similarity score can also be compared to a learning threshold that is greater than the authentication threshold. A new template including features of the input biometric data is saved for the user when the similarity score is less than the learning threshold and greater than the authentication threshold.

    METHODS AND SYSTEMS FOR APPLYING COMPLEX OBJECT DETECTION IN A VIDEO ANALYTICS SYSTEM

    公开(公告)号:US20190130580A1

    公开(公告)日:2019-05-02

    申请号:US16158079

    申请日:2018-10-11

    Abstract: Techniques and systems are provided for tracking objects in one or more video frames. For example, a first set of one or more bounding regions are determined for a video frame based on a trained classification network applied to the video frame. The first set of one or more bounding regions are associated with one or more objects in the video frame. One or more blobs can be detected for the video frame. A blob includes pixels of at least a portion of an object in the video frame. A second set of one or more bounding regions are determined for the video frame that are associated with the one or more blobs. A final set of one or more bounding regions is determined for the video frame using the first set of one or more bounding regions and the second set of one or more bounding regions. Object tracking can then be performed for the video frame using the final set of one or more bounding regions.

    PRIORITIZING OBJECTS FOR OBJECT RECOGNITION
    13.
    发明申请

    公开(公告)号:US20190065895A1

    公开(公告)日:2019-02-28

    申请号:US16107879

    申请日:2018-08-21

    Abstract: Techniques and systems are provided for prioritizing objects for object recognition in one or more video frames. For example, a current video frame is obtained, and a objects are detected in the current video frame. State information associated with the objects is determined. Priorities for the objects can also be determined. For example, a priority can be determined for an object based on state information associated with the object. Object recognition is performed for at least one object from the objects based on priorities determined for the at least one object. For instance, object recognition can be performed for objects having higher priorities before objects having lower priorities.

    MACHINE LEARNING-BASED GENERATION OF THREE-DIMENSIONAL MODELS

    公开(公告)号:US20250131647A1

    公开(公告)日:2025-04-24

    申请号:US18444337

    申请日:2024-02-16

    Abstract: Systems and techniques are disclosed for generating a three-dimensional (3D) model. For example, a process can include estimating a plurality of features associated with at least a portion of images; inverse warping the plurality of features into reference pose features having a reference pose; generating filtered reference pose features by selecting features from the reference pose features based on a distance of the selected features from corresponding features from the reference pose; generating modified reference pose features by modifying the filtered reference pose features based on a feature grid associated with a reference model associated with the reference pose; projecting the filtered reference pose features into one or more two dimensional (2D) planes; identifying first features associated with the person from the one or more 2D planes; and generating a 3D model of the person having a pose using the first features, the modified reference pose features, and pose information.

    COMMUNICATION FRAMEWORK FOR VIRTUAL REPRESENTATION CALLS

    公开(公告)号:US20240259529A1

    公开(公告)日:2024-08-01

    申请号:US18468648

    申请日:2023-09-15

    CPC classification number: H04N7/157 G06T7/70 G06T13/40 G06T17/20

    Abstract: Systems and techniques are described for establishing one or more virtual sessions between users. For instance, a first device can transmit, to a second device, a call establishment request for a virtual representation call for a virtual session and can receive, from the second device, a call acceptance indicating acceptance of the call establishment request. The first device can transmit, to the second device, first mesh information for a first virtual representation of a first user of the first device and first mesh animation parameters for the first virtual representation. The first device can receive, from the second device, second mesh information for a second virtual representation of a second user of the second device and second mesh animation parameters for the second virtual representation. The first device can generate, based on the second mesh information and the second mesh animation parameters, the second virtual representation of the second user.

    USER ADAPTATION FOR BIOMETRIC AUTHENTICATION

    公开(公告)号:US20220164426A1

    公开(公告)日:2022-05-26

    申请号:US17457365

    申请日:2021-12-02

    Abstract: Techniques and systems are provided for authenticating a user of a device. For example, input biometric data associated with a person can be obtained. A similarity score for the input biometric data can be determined by comparing the input biometric data to a set of templates that include reference biometric data associated with the user. The similarity score can be compared to an authentication threshold. The person is authenticated as the user when the similarity score is greater than the authentication threshold. The similarity score can also be compared to a learning threshold that is greater than the authentication threshold. A new template including features of the input biometric data is saved for the user when the similarity score is less than the learning threshold and greater than the authentication threshold.

    OBJECT SCANNING USING PLANAR SEGMENTATION

    公开(公告)号:US20220058871A1

    公开(公告)日:2022-02-24

    申请号:US16998975

    申请日:2020-08-20

    Abstract: Techniques are provided for generating three-dimensional models of objects from one or more images or frames. For example, at least one frame of an object in a scene can be obtained. A portion of the object is positioned on a plane in the at least one frame. The plane can be detected in the at least one frame and, based on the detected plane, the object can be segmented from the plane in the at least one frame. A three-dimensional (3D) model of the object can be generated based on segmenting the object from the plane. A refined mesh can be generated for a portion of the 3D model corresponding to the portion of the object positioned on the plane.

    DETECTING FALSE POSITIVES IN FACE RECOGNITION

    公开(公告)号:US20190065833A1

    公开(公告)日:2019-02-28

    申请号:US16107896

    申请日:2018-08-21

    Abstract: Techniques and systems are provided for detecting false positive faces in one or more video frames. For example, a video frame of a scene can be obtained. The video frame includes a face of a user associated with at least one characteristic feature. The face of the user is determined to match a representative face from stored representative data. The representative face is associated with the at least one characteristic feature. The face of the user is determined to match the representative face based on the at least one characteristic feature. The face of the user can then be determined to be a false positive face based on the face of the user matching the representative face.

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