Classification of objects as well as recognition of their position and orientation in space
    1.
    发明授权
    Classification of objects as well as recognition of their position and orientation in space 有权
    物体的分类以及它们在空间中的位置和方位的认识

    公开(公告)号:US08311342B2

    公开(公告)日:2012-11-13

    申请号:US12289215

    申请日:2008-10-22

    IPC分类号: G06K9/62

    CPC分类号: G06K9/00214 G06K9/685

    摘要: A method for the classification of objects (16) and/or the recognition of their position and/or their orientation in space is set forth, wherein measurement object data points of a measurement object surface are generated using a distance resolving receiver unit (18) and, with the aid of model object data determined in advance, hypotheses on the class, the position and/or the orientation of a measurement object (16) are proposed and verified from the measurement object data points. A plurality of different hypothesis tests can be executed cascaded in such a way that only on verification of a hypothesis through a hypothesis test is a subsequent hypothesis test carried out within this cascade, until either a hypothesis is falsified by the failure of a hypothesis test or a hypothesis is verified as a whole through a complete run through a cascade without falsification.

    摘要翻译: 提出了一种用于分类物体(16)和/或其位置和/或其在空间中的取向的识别的方法,其中测量对象表面的测量对象数据点使用距离分解接收器单元(18)产生, 并且借助于预先确定的模型对象数据,从测量对象数据点提出并验证测量对象(16)的类别,位置和/或取向的假设。 可以以这样的方式执行多个不同的假设检验,使得只有通过假设检验验证假设是在该级联中进行的随后的假设检验,直到假设由于假设检验的失败而被篡改或 一个假设通过一个完整的级联验证整体而不会被伪造。

    Classification of objects as well as recognition of their position and orientation in space
    2.
    发明申请
    Classification of objects as well as recognition of their position and orientation in space 有权
    物体的分类以及它们在空间中的位置和方位的认识

    公开(公告)号:US20090110301A1

    公开(公告)日:2009-04-30

    申请号:US12289215

    申请日:2008-10-22

    IPC分类号: G06K9/62

    CPC分类号: G06K9/00214 G06K9/685

    摘要: A method for the classification of objects (16) and/or the recognition of their position and/or their orientation in space is set forth, wherein measurement object data points of a measurement object surface are generated using a distance resolving receiver unit (18) and, with the aid of model object data determined in advance, hypotheses on the class, the position and/or the orientation of a measurement object (16) are proposed and verified from the measurement object data points. A plurality of different hypothesis tests can be executed cascaded in such a way that only on verification of a hypothesis through a hypothesis test is a subsequent hypothesis test carried out within this cascade, until either a hypothesis is falsified by the failure of a hypothesis test or a hypothesis is verified as a whole through a complete run through a cascade without falsification.

    摘要翻译: 提出了一种用于分类物体(16)和/或其位置和/或其在空间中的取向的识别的方法,其中测量对象表面的测量对象数据点使用距离分解接收器单元(18)产生, 并且借助于预先确定的模型对象数据,从测量对象数据点提出并验证测量对象(16)的类别,位置和/或取向的假设。 可以以这样的方式执行多个不同的假设检验,使得只有通过假设检验验证假设是在该级联中进行的随后的假设检验,直到假设由于假设检验的失败而被篡改或 一个假设通过一个完整的级联验证整体而不会被伪造。