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    • 7. 发明授权
    • Use of physical deformation during scanning of an object to generate views of the object
    • 在扫描对象期间使用物理变形来生成对象的视图
    • US08712737B1
    • 2014-04-29
    • US13603359
    • 2012-09-04
    • Ryan HickmanArshan PoursohiThor Lewis
    • Ryan HickmanArshan PoursohiThor Lewis
    • G06F17/50G06F7/60
    • G06F17/50G01B11/2545G06F7/60G06T17/00G06T19/20G06T2210/16G06T2219/2021
    • Disclosed are methods and systems for determining and displaying a simulated deformation of a 3D object data model. In one aspect, a method is disclosed that includes causing a force to be applied to an object to cause a deformation of the object and causing a plurality of reference scans of the object to be captured. The method further includes, based on the plurality of reference scans, generating a 3D object data model representing the object and, further based on the plurality of reference scans, identifying a constraint point of the 3D object data model, where the constraint point represents a point of minimum deformation of the object. The method still further includes selecting a predefined deformation model, where the predefined deformation model defines a simulated deformation, and where the simulated deformation simulates at least a portion of the deformation of the object proximate to the point of minimum deformation.
    • 公开了用于确定和显示3D对象数据模型的模拟变形的方法和系统。 在一个方面,公开了一种方法,其包括使力施加到物体以引起物体的变形并导致被捕获物体的多个基准扫描。 所述方法还包括基于所述多个参考扫描,生成表示所述对象的3D对象数据模型,并且还基于所述多个参考扫描来识别所述3D对象数据模型的约束点,其中所述约束点表示 物体的最小变形点。 该方法还包括选择预定义的变形模型,其中预定义的变形模型定义了模拟变形,并且其中模拟变形模拟了最接近于最小变形点的物体的变形的至少一部分。
    • 8. 发明授权
    • Enhancing sensor data by coordinating and/or correlating data attributes
    • 通过协调和/或关联数据属性来增强传感器数据
    • US08874266B1
    • 2014-10-28
    • US13564313
    • 2012-08-01
    • Anthony G. Francis, Jr.Ryan HickmanArshan Poursohi
    • Anthony G. Francis, Jr.Ryan HickmanArshan Poursohi
    • G05B19/04G05B19/18G05B15/00G05B19/00
    • B25J9/161G05B23/0221G06F9/5072
    • A method includes receiving first sensor data acquired by a first sensor in communication with a cloud computing system. The first sensor data has a first set of associated attributes including a time and a location at which the first sensor data was acquired. The method also includes receiving second sensor data acquired by a second sensor in communication with the cloud computing system. The second data has a second set of associated attributes including a time and a location at which the second sensor data was acquire. Further, the method includes generating a data processing result based at least in part on the first sensor data, the first set of associated attributes, the second sensor data, and the second set of associated attributes and instructing a robot in communication with the cloud computing system to perform a task based at least in part on the data processing result.
    • 一种方法包括接收与云计算系统通信的由第一传感器采集的第一传感器数据。 第一传感器数据具有第一组关联属性,包括时间和获取第一传感器数据的位置。 该方法还包括接收由与云计算系统通信的第二传感器采集的第二传感器数据。 第二数据具有包括第二传感器数据获取的时间和位置的第二组关联属性。 此外,该方法包括至少部分地基于第一传感器数据,第一组关联属性,第二传感器数据和第二组关联属性生成数据处理结果,并且指示机器人与云计算通信 系统至少部分地基于数据处理结果执行任务。
    • 9. 发明授权
    • Methods and systems for acquiring and ranking image sets
    • 用于获取和排列图像集的方法和系统
    • US08436853B1
    • 2013-05-07
    • US13594913
    • 2012-08-27
    • Ryan HickmanJames R. BruceArshan Poursohi
    • Ryan HickmanJames R. BruceArshan Poursohi
    • G06T15/00
    • G06T7/55G06T17/00G06T2200/08G06T2207/10016
    • Methods and systems for acquiring and ranking image sets are described. In an example, a computing device may be configured to determine a feature-based score that may be based on features of the object including geometry of the object. The computing device also may be configured to receive a plurality of sets of images of the object. A number of respective images of each set of images may be based on the feature-based score. The computing device further may be configured to determine for each set of images a respective image-based score based on a prospective three-dimensional (3D) visualization of the object to be generated by a merged output of that set of images. The computing device also may be configured to determine a respective ranking for each set of images based on the respective image-based score; and select a set of images based on the respective ranking.
    • 描述用于获取和排列图像集的方法和系统。 在一个示例中,计算设备可以被配置为确定可以基于包括对象的几何的对象的特征的基于特征的分数。 计算设备还可以被配置为接收对象的多组图像。 每组图像的各个图像的数量可以基于基于特征的分数。 计算设备还可以被配置为基于由该组图像的合并输出生成的对象的预期三维(3D)可视化来为每组图像确定相应的基于图像的分数。 计算设备还可以被配置为基于相应的基于图像的分数来确定每组图像的相应排名; 并根据各自的排名选择一组图像。