Localization in industrial robotics using rao-blackwellized particle filtering
    1.
    发明授权
    Localization in industrial robotics using rao-blackwellized particle filtering 有权
    使用rao-blackwellized粒子滤波的工业机器人中的本地化

    公开(公告)号:US08219352B2

    公开(公告)日:2012-07-10

    申请号:US12751366

    申请日:2010-03-31

    CPC classification number: B25J9/1694

    Abstract: Embodiments of the invention disclose a system and a method for determining a pose of a probe relative to an object by probing the object with the probe, comprising steps of: determining a probability of the pose using Rao-Blackwellized particle filtering, wherein a probability of a location of the pose is represented by a location of each particle, and a probability of an orientation of the pose is represented by a Gaussian distribution over orientation of each particle conditioned on the location of the particle, wherein the determining is performed for each subsequent probing until the probability of the pose concentrates around a particular pose; and estimating the pose of the probe relative to the object based on the particular pose.

    Abstract translation: 本发明的实施例公开了一种用于通过用探针探测物体来确定探针相对于物体的姿势的系统和方法,包括以下步骤:使用Rao-Blackwellized粒子滤波来确定姿势的概率,其中概率 姿势的位置由每个粒子的位置表示,姿势取向的概率由调整在粒子位置上的每个粒子的取向上的高斯分布表示,其中对每个随后的粒子进行确定 探测到姿势集中在特定姿势周围的概率; 以及基于特定姿势估计探针相对于物体的姿态。

    Localization in Industrial Robotics Using Rao-Blackwellized Particle Filtering
    2.
    发明申请
    Localization in Industrial Robotics Using Rao-Blackwellized Particle Filtering 有权
    使用Rao-Blackwellized粒子滤波在工业机器人中的本地化

    公开(公告)号:US20110246130A1

    公开(公告)日:2011-10-06

    申请号:US12751366

    申请日:2010-03-31

    CPC classification number: B25J9/1694

    Abstract: Embodiments of the invention disclose a system and a method for determining a pose of a probe relative to an object by probing the object with the probe, comprising steps of: determining a probability of the pose using Rao-Blackwellized particle filtering, wherein a probability of a location of the pose is represented by a location of each particle, and a probability of an orientation of the pose is represented by a Gaussian distribution over orientation of each particle conditioned on the location of the particle, wherein the determining is performed for each subsequent probing until the probability of the pose concentrates around a particular pose; and estimating the pose of the probe relative to the object based on the particular pose.

    Abstract translation: 本发明的实施例公开了一种用于通过用探针探测物体来确定探针相对于物体的姿势的系统和方法,包括以下步骤:使用Rao-Blackwellized粒子滤波来确定姿势的概率,其中概率 姿势的位置由每个粒子的位置表示,姿势取向的概率由调整在粒子位置上的每个粒子的取向上的高斯分布表示,其中对每个随后的粒子进行确定 探测到姿势集中在特定姿势周围的概率; 以及基于特定姿势估计探针相对于物体的姿态。

    Method for synthetically relighting images of objects
    4.
    发明授权
    Method for synthetically relighting images of objects 有权
    合成物体图像重构方法

    公开(公告)号:US08194072B2

    公开(公告)日:2012-06-05

    申请号:US12732335

    申请日:2010-03-26

    CPC classification number: G06T15/50 G06K9/4661

    Abstract: An image of an object from a known object class is synthesized by first obtaining reflectance fields for various training objects from the object class. A reflectance field model is defined for the object class using a combination of the reflectance fields of the training objects. The parameters of the reflectance field model are optimized to estimate a particular reflectance field of a particular object from the object class given one or more input images of the particular object. The particular reflectance field is fitted to the particular object, and then the new image of the particular object is synthesized by changing the illumination parameters of the particular fitted reflectance field model after the fitting.

    Abstract translation: 通过首先从对象类获得各种训练对象的反射场,来合成来自已知对象类的对象的图像。 使用训练对象的反射场的组合,为对象类定义反射场模型。 反射场模型的参数被优化以从给定一个或多个特定对象的输入图像的对象类估计特定对象的特定反射率场。 特定的反射场拟合到特定物体上,然后通过改变拟合后特定拟合反射场模型的照明参数来合成特定物体的新图像。

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