Face detection window refinement using depth

    公开(公告)号:US10685214B2

    公开(公告)日:2020-06-16

    申请号:US15755467

    申请日:2015-09-25

    Abstract: The present disclosure is directed to face detection window refinement using depth. Existing face detection systems may perform face detection by analyzing portions of visual data such as an image, video, etc. identified by sub-windows. These sub-windows are now determined only based on pixels, and thus may number in the millions. Consistent with the present disclosure, at least depth data may be utilized to refine the size and appropriateness of sub-windows that identify portions of the visual data to analyze during face detection, which may substantially reduce the number of sub-windows to be analyzed, the total data processing burden, etc. For example, at least one device may comprise user interface circuitry including capture circuitry to capture both visual data and depth data. Face detection circuitry in the at least one device may refine face detection by determining criteria for configuring the sub-windows that will be used in face detection.

    MOVEMENT MAPPING BASED CONTROL OF TELEROBOT
    2.
    发明申请

    公开(公告)号:US20180200889A1

    公开(公告)日:2018-07-19

    申请号:US15518469

    申请日:2016-05-11

    Abstract: Movement of a user in a user space is mapped to a first portion of a command action stream sent to a telerobot in a telerobot space. An immersive feedback stream is provided by the telerobot to the user. Upon movement of user into or proximate to a margin of user space, the first portion of the command action stream may be suspended. The user may re-orient in the user space, and may then continue to move, with movement mapping re-engaged and resumption of transmission of a second portion of command action stream. In this way, user may control a telerobot via movement mapping, even though user space and telerobot space may not be the same size.

    Detection of humans in images using depth information

    公开(公告)号:US10740912B2

    公开(公告)日:2020-08-11

    申请号:US16094997

    申请日:2016-05-19

    Abstract: Techniques are provided for detection of humans in images that include depth information. A methodology embodying the techniques includes segmenting an image into multiple windows and estimating the distance to a subject in each window based on depth pixel values in that window, and filtering to reject windows with sizes that are outside of a desired window size range. The desired window size range is based on the estimated subject distance and the focal length of the depth camera that produced the image. The method further includes generating classifier features for each remaining windows (post-filtering) for use by a cascade classifier. The cascade classifier creates candidate windows for further consideration based on a preliminary detection of a human in any of the remaining windows. The method further includes merging neighboring candidate windows and executing a linear classifier on the merged candidate windows to verify the detection of a human.

    HANDS-FREE ASSISTANCE
    8.
    发明申请
    HANDS-FREE ASSISTANCE 审中-公开
    无偿援助

    公开(公告)号:US20150193088A1

    公开(公告)日:2015-07-09

    申请号:US14124847

    申请日:2013-07-15

    CPC classification number: G06F3/0425 G06F3/04883 G06F2203/04808

    Abstract: Apparatuses, systems, media and/or methods may involve providing work assistance. One or more user actions may be recognized, which may be observed by an image capture device, wherein the user actions may be directed to a work surface incapable of electronically processing one or more of the user actions. One or more regions of interest may be identified from the work surface and/or content may be extracted from the regions of interest, wherein the regions of interest may be determined based at least on one or more of the user actions. Additionally, one or more support operations associated with the content may be implemented.

    Abstract translation: 设备,系统,介质和/或方法可以涉及提供工作辅助。 可以识别一个或多个用户动作,其可以由图像捕获设备观察到,其中用户动作可以被定向到不能电子处理一个或多个用户动作的工作表面。 可以从工作表面识别一个或多个感兴趣的区域,并且/或可以从感兴趣的区域提取内容,其中可以基于至少一个或多个用户动作来确定感兴趣的区域。 另外,可以实现与内容相关联的一个或多个支持操作。

    SCALABLE AVATAR MESSAGING
    9.
    发明申请
    SCALABLE AVATAR MESSAGING 审中-公开
    可扩展的电视消息

    公开(公告)号:US20140267544A1

    公开(公告)日:2014-09-18

    申请号:US13976037

    申请日:2013-03-15

    CPC classification number: H04M1/72544 G06K9/00315 H04N7/141 H04N7/157

    Abstract: Technologies for distributed generation of an avatar with a facial expression corresponding to a facial expression of a user include capturing real-time video of a user of a local computing device. The computing device extracts facial parameters of the user's facial expression using the captured video and transmits the extracted facial parameters to a server. The server generates an avatar video of an avatar having a facial expression corresponding to the user's facial expression as a function of the extracted facial parameters and transmits the avatar video to a remote computing device.

    Abstract translation: 用于分布式生成具有与用户的面部表情相对应的面部表情的化身的技术包括捕获本地计算设备的用户的实时视频。 计算设备使用捕获的视频提取用户的面部表情的面部参数,并将提取的面部参数发送到服务器。 服务器根据所提取的面部参数生成具有与用户面部表情相对应的面部表情的头像的头像视频,并将头像视频发送到远程计算设备。

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