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    METHODS AND SYSTEMS FOR GENERATING A USER-HAIR-COLOR MODEL
    1.
    发明申请
    METHODS AND SYSTEMS FOR GENERATING A USER-HAIR-COLOR MODEL 有权
    用于生成用户头发颜色模型的方法和系统

    公开(公告)号：US20170061640A1

    公开(公告)日：2017-03-02

    申请号：US14842525

    申请日：2015-09-01

    申请人： Personify, Inc.

    发明人： Dennis Lin ,  Glenn Francisco ,  Yi Zhang ,  Gia Dang ,  Simion Venshtain ,  Quang Nguyen ,  Long Dang

    IPC分类号： G06T7/00 ,  H04N5/225 ,  G06K9/46

    CPC分类号： G06T7/12 ,  G06K9/4652 ,  G06T7/11 ,  G06T7/507 ,  G06T7/90 ,  G06T2207/30196 ,  H04N5/225

    摘要： Disclosed herein are methods and systems for generating a user-hair-color model. One embodiment takes the form of a process that includes obtaining video data depicting a head of a user. The process also includes determining a set of line segments of pixels of the video data, wherein each line segment in the determined set of line segments intersects an upper contour of the depicted head of the user. The process also includes grouping at least some of the pixels of at least one of the line segments in the determined set of line segments into three sets of pixels based at least in part on respective color data of the pixels. The three sets of pixels include a skin-pixel set, a hair-pixel set, and a background-pixel set. The process also includes updating a user hair-color model based at least in part on the skin-pixel set.

    摘要翻译： 这里公开了用于生成用户头发颜色模型的方法和系统。 一个实施例采用包括获取描绘用户头部的视频数据的过程的形式。 该过程还包括确定视频数据的像素的一组线段，其中所确定的一组线段中的每个线段与所描绘的用户头部的上部轮廓相交。 该过程还包括至少部分地基于像素的相应颜色数据将所确定的线段集合中的至少一个线段的至少一些像素分组为三组像素。 三组像素包括皮肤像素组，头发像素组和背景像素组。 该过程还包括至少部分地基于皮肤像素集更新用户头发颜色模型。

    Methods and systems for real-time user extraction using deep learning networks
    2.
    发明授权
    Methods and systems for real-time user extraction using deep learning networks 有权

    公开(公告)号：US09881207B1

    公开(公告)日：2018-01-30

    申请号：US15333623

    申请日：2016-10-25

    申请人： Personify, Inc.

    发明人： Quang Nguyen ,  Cong Nguyen ,  Long Dang ,  Gia Dang ,  Simion Venshtain

    IPC分类号： G06K9/00 ,  G06K9/46 ,  G06K9/62 ,  G06N3/04 ,  G06N3/08

    CPC分类号： G06K9/00369 ,  G06K9/4652 ,  G06K9/6232 ,  G06N3/0445 ,  G06N3/08

    摘要： Methods and systems for real-time user extraction using deep learning networks. In one embodiment, user extraction comprises obtaining a given frame of color pixel data, checking whether a reset flag is cleared or set, and generating a trimap for the given frame. If the reset flag is cleared, generating the trimap comprises: obtaining a user-extraction contour based on a preceding frame; and generating the trimap based on the obtained user-extraction contour. If the reset flag is set, generating the trimap comprises: detecting at least one persona feature in the given frame; generating an alpha mask by aligning an intermediate contour with the detected persona feature(s), wherein the intermediate contour is based on a color-based flood-fill operation performed on a previous frame which was segmented by a machine-learning-segmentation process; and generating the trimap based on the generated alpha mask. The generated trimap is output for extracting a user persona.

    METHODS AND SYSTEMS FOR CLASSIFYING PIXELS AS FOREGROUND USING BOTH SHORT-RANGE DEPTH DATA AND LONG-RANGE DEPTH DATA
    3.
    发明申请
    METHODS AND SYSTEMS FOR CLASSIFYING PIXELS AS FOREGROUND USING BOTH SHORT-RANGE DEPTH DATA AND LONG-RANGE DEPTH DATA 审中-公开
    使用两个短距离深度数据和长距离深度数据分类像素的方法和系统

    公开(公告)号：US20160353080A1

    公开(公告)日：2016-12-01

    申请号：US14721428

    申请日：2015-05-26

    申请人： Personify, Inc.

    发明人： Quang Nguyen ,  Long Dang ,  Cong Nguyen ,  Dennis Lin ,  Simion Venshtain ,  Minh Do

    IPC分类号： H04N13/00 ,  H04N13/02 ,  G06K9/62

    CPC分类号： H04N13/158 ,  G06K9/00201 ,  G06K9/6267 ,  G06T7/11 ,  G06T7/174 ,  G06T7/194 ,  G06T2207/10016 ,  G06T2207/10028 ,  G06T2207/20076 ,  G06T2207/30201 ,  H04N13/15 ,  H04N13/271 ,  H04N2013/0085 ,  H04N2013/0092

    摘要： Disclosed herein are methods and systems for classifying pixels as foreground using both short-range depth data and long-range depth data. One embodiment takes the form of a process that includes obtaining video data depicting at least a portion of a user. The process also includes obtaining short-range depth data associated with the video data. The process also includes obtaining long-range depth data associated with the video data. The video data, short-range depth data, and long-range depth data may be obtained via a single 3-D video camera. The process also includes classifying pixels of the video data as foreground based at least in part on both the short-range depth data and the long-range depth data. In some embodiments, classifying pixels of the video data as foreground comprises employing an alpha mask. The alpha mask may comprise binary foreground (hard) indicators. The alpha mask may comprise foreground-likelihood (soft) indicators.

    摘要翻译： 这里公开了使用短距离深度数据和远程深度数据两者将像素分类为前景的方法和系统。 一个实施例采用包括获取描绘用户的至少一部分的视频数据的过程的形式。 该过程还包括获得与视频数据相关联的短距离深度数据。 该过程还包括获得与视频数据相关联的长距离深度数据。 可以通过单个3-D摄像机获得视频数据，短距离深度数据和远程深度数据。 该过程还包括至少部分地基于短程深度数据和远程深度数据两者将视频数据的像素分类为前景。 在一些实施例中，将视频数据的像素分类为前景包括采用α掩模。 alpha掩码可以包括二进制前景（硬）指示符。 α掩模可以包括前景似然（软）指示符。