Face recognition using gradient based feature analysis
    1.
    发明授权
    Face recognition using gradient based feature analysis 有权
    使用基于梯度的特征分析进行人脸识别

    公开(公告)号:US09384385B2

    公开(公告)日:2016-07-05

    申请号:US14535133

    申请日:2014-11-06

    CPC classification number: G06K9/3275 G06K9/00248

    Abstract: Computer-readable storage media, computing devices and methods are discussed herein. In embodiments, a computing device may be configured to perform facial recognition based on gradient based feature extractions of images of faces. In embodiments, the computing device may be configured to determine directional matching patterns of the images from the gradient based feature extraction and may utilize these directional matching patterns in performing a facial recognition analysis of the images of faces. Other embodiments may be described and/or claimed.

    Abstract translation: 本文讨论了计算机可读存储介质,计算设备和方法。 在实施例中,计算设备可以被配置为基于面部图像的基于梯度的特征提取来执行面部识别。 在实施例中,计算设备可以被配置为从基于梯度的特征提取来确定图像的方向匹配模式,并且可以在对面部图像执行面部识别分析时利用这些方向匹配模式。 可以描述和/或要求保护其他实施例。

    FACE RECOGNITION USING GRADIENT BASED FEATURE ANALYSIS
    2.
    发明申请
    FACE RECOGNITION USING GRADIENT BASED FEATURE ANALYSIS 有权
    使用基于梯度特征分析的脸部识别

    公开(公告)号:US20160132718A1

    公开(公告)日:2016-05-12

    申请号:US14535133

    申请日:2014-11-06

    CPC classification number: G06K9/3275 G06K9/00248

    Abstract: Computer-readable storage media, computing devices and methods are discussed herein. In embodiments, a computing device may be configured to perform facial recognition based on gradient based feature extractions of images of faces. In embodiments, the computing device may be configured to determine directional matching patterns of the images from the gradient based feature extraction and may utilize these directional matching patterns in performing a facial recognition analysis of the images of faces. Other embodiments may be described and/or claimed.

    Abstract translation: 本文讨论了计算机可读存储介质,计算设备和方法。 在实施例中,计算设备可以被配置为基于面部图像的基于梯度的特征提取来执行面部识别。 在实施例中,计算设备可以被配置为从基于梯度的特征提取来确定图像的方向匹配模式,并且可以在对面部图像执行面部识别分析时利用这些方向匹配模式。 可以描述和/或要求保护其他实施例。

    Visual object tracking system with model validation and management

    公开(公告)号:US09727786B2

    公开(公告)日:2017-08-08

    申请号:US14541981

    申请日:2014-11-14

    CPC classification number: G06K9/00711 G06K9/4642 G06K9/4652 G06T7/246

    Abstract: System, apparatus, method, and computer readable media for on-the-fly captured image data object tracking. An image or video stream is processed to detect and track an object in concurrence with generation of the stream by a camera module. In one exemplary embodiment, HD image frames are processed at a rate of 30 fps, or more, to track one or more target object. In embodiments, object detection is validated prior to employing detected object descriptor(s) as learning data to generate or update an object model. A device platform including a camera module and comporting with the exemplary architecture may provide 3A functions based on objects robustly tracked in accordance with embodiments.

    Face Recognition Method, Apparatus, and Computer-Readable Recording Medium for Executing the Method
    4.
    发明申请
    Face Recognition Method, Apparatus, and Computer-Readable Recording Medium for Executing the Method 有权
    面部识别方法,装置和计算机可读记录介质,用于执行该方法

    公开(公告)号:US20140147023A1

    公开(公告)日:2014-05-29

    申请号:US14129602

    申请日:2012-09-27

    Abstract: The present disclosure relates to a face recognition method, an apparatus, and a computer-readable recording medium for executing the method. According to some aspects of the present disclosure, the face recognition method includes: (a) a key point setting step of setting key points at designated positions on an input face image; (b) a key point descriptor extracting step of extracting each descriptor for each key point; and (c) a matching step of determining whether the input face image matches pre-stored face images using descriptors for key points within a designated region including each descriptor for each first key point obtained from the input face image, and second key points of pre-stored face images which correspond to first key points obtained from the input face image.

    Abstract translation: 本公开涉及一种用于执行该方法的人脸识别方法,装置和计算机可读记录介质。 根据本公开的一些方面,面部识别方法包括:(a)在输入面部图像上的指定位置设置关键点的关键点设定步骤; (b)提取每个关键点的每个描述符的关键点描述符提取步骤; 以及(c)匹配步骤,用于使用包括用于从所述输入面部图像获得的每个第一关键点的每个描述符的指定区域内的关键点的描述符来确定输入面部图像是否匹配预先存储的面部图像,以及预先确定的第二关键点 存储的面部图像对应于从输入面部图像获得的第一关键点。

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