Face recognition using gradient based feature analysis
    11.
    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。

    AVATAR ANIMATION SYSTEM
    12.
    发明申请

    公开(公告)号:US20200051306A1

    公开(公告)日:2020-02-13

    申请号:US16655686

    申请日:2019-10-17

    Abstract: Avatar animation systems disclosed herein provide high quality, real-time avatar animation that is based on the varying countenance of a human face. In some example embodiments, the real-time provision of high quality avatar animation is enabled at least in part, by a multi-frame regressor that is configured to map information descriptive of facial expressions depicted in two or more images to information descriptive of a single avatar blend shape. The two or more images may be temporally sequential images. This multi-frame regressor implements a machine learning component that generates the high quality avatar animation from information descriptive of a subject's face and/or information descriptive of avatar animation frames previously generated by the multi-frame regressor. The machine learning component may be trained using a set of training images that depict human facial expressions and avatar animation authored by professional animators to reflect facial expressions depicted in the set of training images.

    Real time skin smoothing image enhancement filter
    14.
    发明授权
    Real time skin smoothing image enhancement filter 有权
    实时皮肤平滑图像增强滤镜

    公开(公告)号:US09390478B2

    公开(公告)日:2016-07-12

    申请号:US14491698

    申请日:2014-09-19

    Abstract: System, apparatus, method, and computer readable media for on-the-fly captured image data enhancement. An image or video stream is enhanced with a filter in concurrence with generation of the stream by a camera module. In one exemplary embodiment, HD image frames are filtered at a rate of 30 fps, or more, to enhance human skin tones with an edge-preserving smoothing filter. In embodiments, the smoothing filter is applied to an image representation of reduced resolution, reducing computational overhead of the filter. The filtered image is then upsampled and blended with a map that identifies edges to maintain an edge quality comparable to a smoothing filter applied at full resolution. A device platform including a camera module and comporting with the exemplary architecture may provide enhanced video camera functionality even at low image processing bandwidth.

    Abstract translation: 用于即时拍摄图像数据增强的系统,装置,方法和计算机可读介质。 使用过滤器增强图像或视频流,同时由相机模块生成流。 在一个示例性实施例中,以30fps或更大的速率对HD图像帧进行滤波,以利用边缘保持平滑滤波器增强人体肤色。 在实施例中,平滑滤波器被应用于降低分辨率的图像表示,减少了滤波器的计算开销。 然后对经滤波的图像进行上采样并与识别边缘的映射混合,以保持与以全分辨率应用的平滑滤波器相当的边缘质量。 包括相机模块和与示例性架构相融合的设备平台即使在低图像处理带宽下也可以提供增强的摄像机功能。

    METHOD, APPARATUS FOR PROVIDING A NOTIFICATION ON A FACE RECOGNITION ENVIRONMENT, AND COMPUTER-READABLE RECORDING MEDIUM FOR EXECUTING THE METHOD
    15.
    发明申请
    METHOD, APPARATUS FOR PROVIDING A NOTIFICATION ON A FACE RECOGNITION ENVIRONMENT, AND COMPUTER-READABLE RECORDING MEDIUM FOR EXECUTING THE METHOD 审中-公开
    方法,用于提供面部识别环境通知的装置和用于执行方法的计算机可读记录介质

    公开(公告)号:US20160063033A1

    公开(公告)日:2016-03-03

    申请号:US14939093

    申请日:2015-11-12

    Abstract: According to a method for providing a notification on a face recognition environment of the present disclosure, the method includes obtaining an input image that is input in a preview state, comparing feature information for a face included in the input image with feature information for a plurality of reference images of people stored in a predetermined database to determine, in real-time, whether the input image satisfies a predetermined effective condition for photographing. The predetermined effective condition for photographing is information regarding a condition necessary for recognizing the face included in the input image at a higher accuracy level than a predetermined accuracy level. The method further includes providing a user with a predetermined feedback for photographing guidance that corresponds to whether the predetermined effective condition for photographing is satisfied. According to the method, a condition of a face image detected for face recognition is checked, and if there is an unsuitable element in recognizing the face, it is notified to a user such that an obstruction environment hindering the face recognition by the user is removed, for enhancing a success rate of the face recognition.

    Abstract translation: 根据本公开的面部识别环境中提供通知的方法,所述方法包括:获取以预览状态输入的输入图像,将输入图像中包含的面部的特征信息与多个特征信息进行比较 存储在预定数据库中的人的参考图像实时地确定输入图像是否满足用于拍摄的预定有效条件。 用于拍摄的预定有效条件是关于以比预定精度水平更高的精度水平识别包含在输入图像中的面部所必需的条件的信息。 该方法还包括向用户提供与用于拍摄的预定有效条件是否被满足的拍摄引导的预定反馈。 根据该方法,对面部识别检测到的面部图像的条件进行检查,并且如果在识别脸部时存在不适合的元素,则将其通知给用户,使得妨碍用户的脸部识别的阻塞环境被去除 ,用于提高脸部识别的成功率。

    Method, apparatus and computer-readable recording medium for managing images in image database
    19.
    发明授权
    Method, apparatus and computer-readable recording medium for managing images in image database 有权
    用于管理图像数据库中的图像的方法,装置和计算机可读记录介质

    公开(公告)号:US09471603B2

    公开(公告)日:2016-10-18

    申请号:US14129328

    申请日:2013-02-15

    CPC classification number: G06F17/30277 G06F17/30247 G06F17/3028

    Abstract: Managing images in an image database is described, comprising: when a query image is input, performing a match to determine whether an image similar to the query image exists within the database by comparing the images stored in the database with the query image; and if the image similar to the query image is a recognized image, providing at least one image in an image group to which the recognized image belongs and information thereon as a result, and if the image similar to the query image is an unrecognized image, providing at least one image in an image group to which the unrecognized image belongs as a result. When at least one image of the image group including the image similar to the query image is a recognized image, information on the corresponding recognized image is assigned to the images in the image group and provided as a result.

    Abstract translation: 描述管理图像数据库中的图像,包括:当输入查询图像时,通过将存储在数据库中的图像与查询图像进行比较,执行匹配以确定与查询图像相似的图像是否存在于数据库内; 并且如果与查询图像类似的图像是识别的图像,则在所识别的图像所属的图像组中提供至少一个图像,并且在其上提供关于其的信息,并且如果与查询图像相似的图像是无法识别的图像, 作为结果,在不能识别的图像所属的图像组中提供至少一个图像。 当包括与查询图像相似的图像的图像组的至少一个图像是识别的图像时,关于相应的识别图像的信息被分配给图像组中的图像并作为结果。

    FACE RECOGNITION USING GRADIENT BASED FEATURE ANALYSIS
    20.
    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。

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