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    ESTIMATION OF HUMAN ORIENTATION IN IMAGES USING DEPTH INFORMATION
    1.
    发明申请
    ESTIMATION OF HUMAN ORIENTATION IN IMAGES USING DEPTH INFORMATION 审中-公开

    公开(公告)号：US20190147613A1

    公开(公告)日：2019-05-16

    申请号：US16098649

    申请日：2016-06-02

    Applicant: INTEL CORPORATION

    Inventor： HAIBING REN ,  YIMIN ZHANG ,  XIAOBO HU ,  FEI DUAN

    IPC: G06T7/73 ,  G06K9/00 ,  G06K9/62 ,  G06T7/50

    Abstract: Techniques are provided for estimation of human orientation and facial pose, in images that include depth information. A methodology embodying the techniques includes detecting a human in an image generated by a depth camera and estimating an orientation category associated with the detected human. The estimation is based on application of a random forest classifier, with leaf node template matching, to the image. The orientation category defines a range of angular offsets relative to an angle corresponding to the human facing the depth camera. The method also includes performing a three dimensional (3D) facial pose estimation of the detected human, based on detected facial landmarks, in response to a determination that the estimated orientation category includes the angle corresponding to the human facing the depth camera.

    FACE DETECTION WINDOW REFINEMENT USING DEPTH
    3.
    发明申请
    FACE DETECTION WINDOW REFINEMENT USING DEPTH 审中-公开

    公开(公告)号：US20180247110A1

    公开(公告)日：2018-08-30

    申请号：US15755467

    申请日：2015-09-25

    Applicant: INTEL CORPORATION

    Inventor： HAIBING REN ,  YIMIN ZHANG ,  SIRUI YANG ,  WEI HU

    IPC: G06K9/00 ,  G06T7/11 ,  G06T7/194 ,  G06K9/62

    CPC classification number: G06K9/00255 ,  G06K9/00201 ,  G06K9/00228 ,  G06K9/6292 ,  G06K2209/21 ,  G06T7/11 ,  G06T7/194 ,  G06T2207/30196

    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.

    PERSONALIZED ADVERTISEMENT SELECTION SYSTEM AND METHOD
    4.
    发明申请
    PERSONALIZED ADVERTISEMENT SELECTION SYSTEM AND METHOD 审中-公开
    个性化广告选择系统和方法

    公开(公告)号：US20160148247A1

    公开(公告)日：2016-05-26

    申请号：US14921725

    申请日：2015-10-23

    Applicant: Intel Corporation

    Inventor： JIANGUO LI ,  TAO WANG ,  YANGZHOU DU ,  QIANG LI ,  YIMIN ZHANG

    IPC: G06Q30/02 ,  G06K9/00

    CPC classification number: G06Q30/0242 ,  G06K9/00228 ,  G06K9/00281 ,  G06K9/00288 ,  G06K9/00302 ,  G06K2009/00322 ,  G06Q30/0251 ,  G06Q30/0255 ,  G06Q30/0267 ,  G06Q30/0269

    Abstract: A system and method for selecting an advertisement to present to a consumer includes detecting facial regions in the image, identifying one or more consumer characteristics (mood, gender, age, etc.) of said consumer in the image, identifying one or more advertisements to present to the consumer based on a comparison of the consumer characteristics with an advertisement database including a plurality of advertisement profiles, and presenting a selected one of the identified advertisement to the consumer on a media device.

    Abstract translation: 用于选择呈现给消费者的广告的系统和方法包括检测图像中的面部区域，识别图像中的所述消费者的一个或多个消费者特征（情绪，性别，年龄等），识别一个或多个广告 基于消费者特征与包括多个广告简档的广告数据库的比较，以及在所述媒体设备上向所述消费者呈现所识别的广告中选择的一个。

    MECHANISM FOR FACILITATING DYNAMIC USER-BASED CUSTOMIZATION OF ADVERTISEMENT CONTENT AT COMPUTING DEVICES
    6.
    发明申请
    MECHANISM FOR FACILITATING DYNAMIC USER-BASED CUSTOMIZATION OF ADVERTISEMENT CONTENT AT COMPUTING DEVICES 审中-公开
    促进基于用户的计算机设备广告内容自定义的机制

    公开(公告)号：US20160027066A1

    公开(公告)日：2016-01-28

    申请号：US14775597

    申请日：2013-12-27

    Applicant: INTEL CORPORATION

    Inventor： THOMAS SACHSON ,  MICHAEL DALE WITTEMAN ,  JOSE ELMER SAAVEDRA LORENZO ,  MARY D. SMILEY ,  YIMIN ZHANG ,  WENLONG LI ,  SHIBANI KAPOOR SHAH ,  PHILIP JOSEPH CORRIVEAU ,  KANCHAN JAHAGIRDAR ,  YINNI GUO ,  CRISTINA CHOPRA NEMETH ,  NEWFEL HARRAT

    IPC: G06Q30/02

    CPC classification number: G06Q30/0275 ,  G06Q30/0251

    Abstract: A mechanism is described for facilitating dynamic user-based customization of advertisement content at computing devices according to one embodiment. A method of embodiments, as described herein, includes receiving an advertiser content to be published on an avatar list, where the advertiser content is associated with an advertising entity, and verifying the advertiser content for publication, where verifying further includes assigning a ranking to the advertiser content. The ranking represents a position on the avatar list. The method may further include transmitting a publication notification identifying the ranking assigned to the advertiser content, and facilitating an auction for bidding to allow the advertising entity to obtain a higher ranking for the advertiser content than the assigned ranking, if the assigned ranking is rejected by the advertising entity.

    Abstract translation: 描述了根据一个实施例的用于促进在计算设备处的广告内容的基于用户的动态定制的机制。 如本文所述的实施例的方法包括：接收要在头像列表上发布的广告客户内容，其中广告主内容与广告实体相关联，以及验证广告主内容以进行发布，其中验证还包括向 广告客户内容。 排名代表头像列表中的位置。 该方法还可以包括：发送识别分配给广告主内容的排名的发布通知，并且如果所分配的排名被所述分配的排名拒绝，则促进投标拍卖以允许广告主获得比所分配的排名更高的广告主内容排名 广告实体。

    DETECTION OF HUMANS IN IMAGES USING DEPTH INFORMATION
    8.
    发明申请
    DETECTION OF HUMANS IN IMAGES USING DEPTH INFORMATION 审中-公开

    公开(公告)号：US20190156499A1

    公开(公告)日：2019-05-23

    申请号：US16094997

    申请日：2016-05-19

    Applicant: INTEL CORPORATION

    Inventor： HAIBING REN ,  YIMIN ZHANG ,  FEI DUAN

    IPC: G06T7/50 ,  G06T7/10 ,  G06K9/62 ,  G06K9/00

    CPC classification number: G06T7/50 ,  G06K9/00201 ,  G06K9/00362 ,  G06K9/6215 ,  G06K9/6256 ,  G06K9/6279 ,  G06T7/10

    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.

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