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    METHOD AND DEVICE FOR DETERMINING THE SHAPE OF AN OBJECT REPRESENTED IN AN IMAGE, CORRESPONDING COMPUTER PROGRAM PRODUCT AND COMPUTER-READABLE MEDIUM
    3.
    发明申请
    METHOD AND DEVICE FOR DETERMINING THE SHAPE OF AN OBJECT REPRESENTED IN AN IMAGE, CORRESPONDING COMPUTER PROGRAM PRODUCT AND COMPUTER-READABLE MEDIUM 审中-公开
    用于确定在图像中表示的对象的形状，相应的计算机程序产品和计算机可读介质的形状的方法和装置

    公开(公告)号：US20170061253A1

    公开(公告)日：2017-03-02

    申请号：US15249440

    申请日：2016-08-28

    Applicant: THOMSON LICENSING

    Inventor： Xavier BURGOS ,  Nezha KABBAJ ,  Francois LE CLERC

    IPC: G06K9/62 ,  G06K9/66 ,  G06T7/00 ,  G06K9/52

    CPC classification number: G06K9/6267 ,  G06K9/00248 ,  G06K9/00268 ,  G06K9/00281 ,  G06K9/52 ,  G06K9/6215 ,  G06K9/66 ,  G06T7/70

    Abstract: The disclosure relates to a method for determining the shape (St) of an object represented in a current image, a plurality of landmarks being associated with the object. According to the disclosure, the method includes determining a plurality of features (Ft) representative of the current image, and the features being determined from at least a part of the plurality of landmarks. The method further obtains information (St) representative of the shape of the object by using at least one parameter (Pt) representative of an estimation of the pose of the object in the current image, the at least one parameter being obtained by implementing a multivariate regression applied to at least a part of the set of features.

    Abstract translation: 本公开涉及一种用于确定当前图像中表示的对象的形状（St）的方法，与对象相关联的多个界标。 根据本公开，该方法包括确定代表当前图像的多个特征（Ft），并且从多个地标的至少一部分确定特征。 该方法通过使用表示当前图像中的对象的姿态的估计的至少一个参数（Pt）来获得表示对象形状的信息（St），所​​述至少一个参数是通过实施多变量 回归应用于该组特征的至少一部分。

    METHOD AND DEVICE FOR CLASSIFYING AN OBJECT OF AN IMAGE AND CORRESPONDING COMPUTER PROGRAM PRODUCT AND COMPUTER-READABLE MEDIUM
    4.
    发明申请
    METHOD AND DEVICE FOR CLASSIFYING AN OBJECT OF AN IMAGE AND CORRESPONDING COMPUTER PROGRAM PRODUCT AND COMPUTER-READABLE MEDIUM 审中-公开
    用于分类图像对象和相关计算机程序产品和计算机可读介质的方法和设备

    公开(公告)号：US20170061252A1

    公开(公告)日：2017-03-02

    申请号：US15249435

    申请日：2016-08-28

    Applicant: THOMSON LICENSING

    Inventor： Xavier BURGOS ,  Nezha Kabbaj ,  Francois LE CLERC

    IPC: G06K9/62 ,  G06K9/66 ,  G06T11/60 ,  G06K9/52

    CPC classification number: G06K9/6267 ,  G06K9/00281 ,  G06K9/52 ,  G06K9/66 ,  G06T11/60

    Abstract: The disclosure relates to a method for classifying an object of a current image, a plurality of first landmarks representative of the shape of the object being associated with the current image, a first unique identifier being associated with each first landmark. According to the disclosure, the method includes, for at least a first landmark, a step of obtaining at least a first descriptor describing an area of the current image having the at least first selected landmark. Then, the first landmark is selected according to its first identifier, and when its first identifier corresponds to a second identifier of a second landmark, a second descriptor is used in a classifier for classifying the object. Finally, the method determines information representative of confidence of the shape according to the first descriptor and according to weighting information associated with the second descriptor.

    Abstract translation: 本公开涉及一种用于分类当前图像的对象的方法，代表与当前图像相关联的对象的形状的多个第一地标，与每个第一地标相关联的第一唯一标识符。 根据本公开，该方法至少包括第一标记，获得至少描述描述具有至少第一选定标记的当前图像的区域的第一描述符的步骤。 然后，根据其第一标识符选择第一标记，并且当其第一标识符对应于第二标记的第二标识符时，在用于分类对象的分类器中使用第二描述符。 最后，该方法确定表示根据第一描述符的形状置信度的信息，并根据与第二描述符相关联的加权信息。

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