COMPUTER-ASSISTED FAULT INTERPRETATION OF SEISMIC DATA
    2.
    发明申请
    COMPUTER-ASSISTED FAULT INTERPRETATION OF SEISMIC DATA 有权
    地震数据的计算机辅助故障解释

    公开(公告)号:US20150234070A1

    公开(公告)日:2015-08-20

    申请号:US14182157

    申请日:2014-02-17

    CPC classification number: G01V1/345 G01V1/301 G01V2210/642

    Abstract: The approaches presently disclosed provide for fault-interpretation in a seismic volume with computer assistance, allowing automatic or semi-automatic determination of a fault surface and associated displacement across the fault. The present fault interpretation approach uses pattern matching algorithms and does not require prior interpretation of the stratigraphic horizons. In certain implementations the fault interpretation approach estimates the 3D fault surface as part of a joint fault surface location and displacement optimization process.

    Abstract translation: 目前公开的方法提供了具有计算机辅助的地震体积中的故障解释,允许故障表面的自动或半自动确定和跨故障的相关位移。 目前的故障解释方法使用模式匹配算法,不需要对地层视野的先前解释。 在某些实施方案中,故障解释方法将3D故障表面估计为联合断层表面位置和位移优化过程的一部分。

    SYSTEM AND METHOD FOR DETECTION AND TRACKING OF MOVING OBJECTS
    5.
    发明申请
    SYSTEM AND METHOD FOR DETECTION AND TRACKING OF MOVING OBJECTS 有权
    用于移动物体的检测和跟踪的系统和方法

    公开(公告)号:US20140085545A1

    公开(公告)日:2014-03-27

    申请号:US13627629

    申请日:2012-09-26

    Abstract: A method implemented using a processor based device is disclosed. The method includes receiving a video stream comprising a plurality of image frames having at least one moving object, determining a difference between at least two image frames among the plurality of image frames and generating a difference image comprising a plurality of image blobs corresponding to the at least one moving object. The method further includes generating a plurality of bounding boxes, each bounding box surrounding at least one corresponding image blob among the plurality of image blobs, and determining a subset of bounding boxes among the plurality of bounding boxes, associated with the corresponding moving object, using a fuzzy technique based on a perceptual characterization of the subset of bounding boxes. The method also includes merging the subset of bounding boxes to generate a merged bounding box enclosing the subset of bounding boxes to detect the moving object.

    Abstract translation: 公开了一种使用基于处理器的设备实现的方法。 该方法包括接收包括具有至少一个运动对象的多个图像帧的视频流,确定多个图像帧中的至少两个图像帧之间的差异,并生成包括对应于该图像帧的多个图像斑点的差分图像 至少一个移动物体。 该方法还包括生成多个边界框,每个边界框围绕多个图像斑点中的至少一个对应图像斑点,以及使用与相应运动对象相关联的多个边界框中的边界框的子集,使用 基于对包围子集的感知表征的模糊技术。 该方法还包括合并边界框的子集以生成包围边界子集的合并边界框以检测移动对象。

    System and method for detection and tracking of moving objects
    7.
    发明授权
    System and method for detection and tracking of moving objects 有权
    移动物体检测和跟踪的系统和方法

    公开(公告)号:US09465997B2

    公开(公告)日:2016-10-11

    申请号:US13627629

    申请日:2012-09-26

    Abstract: A method implemented using a processor based device is disclosed. The method includes receiving a video stream comprising a plurality of image frames having at least one moving object, determining a difference between at least two image frames among the plurality of image frames and generating a difference image comprising a plurality of image blobs corresponding to the at least one moving object. The method further includes generating a plurality of bounding boxes, each bounding box surrounding at least one corresponding image blob among the plurality of image blobs, and determining a subset of bounding boxes among the plurality of bounding boxes, associated with the corresponding moving object, using a fuzzy technique based on a perceptual characterization of the subset of bounding boxes. The method also includes merging the subset of bounding boxes to generate a merged bounding box enclosing the subset of bounding boxes to detect the moving object.

    Abstract translation: 公开了一种使用基于处理器的设备实现的方法。 该方法包括接收包括具有至少一个运动对象的多个图像帧的视频流,确定多个图像帧中的至少两个图像帧之间的差异,并生成包括对应于该图像帧的多个图像斑点的差分图像 至少一个移动物体。 该方法还包括生成多个边界框,每个边界框围绕多个图像斑点中的至少一个相应的图像斑点,以及使用与相应的运动对象相关联的多个边界框中的边界框的子集,使用 基于对包围子集的感知表征的模糊技术。 该方法还包括合并边界框的子集以生成包围边界子集的合并边界框以检测移动对象。

    Vision-guided electromagnetic robotic system
    8.
    发明授权
    Vision-guided electromagnetic robotic system 有权
    视觉导向电磁机器人系统

    公开(公告)号:US09259844B2

    公开(公告)日:2016-02-16

    申请号:US14178902

    申请日:2014-02-12

    Abstract: Embodiments of the disclosure comprise a vision-based robotic manipulation system that identifies, singulates, and removes an individual surgical instrument from a cluttered environment. A computer-vision algorithm incorporated with the system is robust against optical challenges such as changing light conditions, specularities, and inter-reflections among various surgical instruments. The system estimates 2D pose (as opposed to a more challenging 3D pose) using a camera with normal room lighting to identify each object, including its specified data matrix barcode; and incorporates the use of a robotic arm with a compliant electromagnetic gripper to handle objects having large shape variance. The system can then relocate the objects as desired. The robot manipulator is utilized in hospital and research settings, manufacturing, and sterile environments.

    Abstract translation: 本公开的实施例包括基于视觉的机器人操纵系统,其从杂乱的环境识别,单独和移除单个外科器械。 与系统结合的计算机视觉算法对于诸如改变各种手术器械中的光条件,镜面反射和相互反射之类的光学挑战是鲁棒的。 该系统使用具有正常房间照明的相机来估计2D姿态(与更具挑战性的3D姿势相反)来识别每个对象,包括其指定的数据矩阵条形码; 并且结合使用具有柔性电磁夹具的机器臂来处理具有大形状差异的物体。 然后,系统可以根据需要重新定位对象。 机器人操纵器用于医院和研究设施,制造和无菌环境。

    SYSTEM AND METHOD FOR X-RAY IMAGE ACQUISITION AND PROCESSING
    9.
    发明申请
    SYSTEM AND METHOD FOR X-RAY IMAGE ACQUISITION AND PROCESSING 有权
    用于X射线图像获取和处理的系统和方法

    公开(公告)号:US20140126696A1

    公开(公告)日:2014-05-08

    申请号:US13668002

    申请日:2012-11-02

    CPC classification number: G01T1/295

    Abstract: An imaging system is provided. The imaging system includes an X-ray radiation source. The imaging system also includes a source controller coupled to the X-ray radiation source and configured to modulate an exposure pattern from the X-ray radiation source to enable a coded exposure sequence. The imaging system further includes a digital X-ray detector configured to acquire image data that includes at least one coded motion blur.

    Abstract translation: 提供成像系统。 成像系统包括X射线辐射源。 成像系统还包括耦合到X射线辐射源并被配置为调制来自X射线辐射源的曝光图案以使得能够进行编码曝光序列的源极控制器。 成像系统还包括被配置为获取包括至少一个编码运动模糊的图像数据的数字X射线检测器。

    VISION-GUIDED ELECTROMAGNETIC ROBOTIC SYSTEM
    10.
    发明申请
    VISION-GUIDED ELECTROMAGNETIC ROBOTIC SYSTEM 有权
    视觉导向电磁机器人系统

    公开(公告)号:US20150224650A1

    公开(公告)日:2015-08-13

    申请号:US14178902

    申请日:2014-02-12

    Abstract: Embodiments of the disclosure comprise a vision-based robotic manipulation system that identifies, singulates, and removes an individual surgical instrument from a cluttered environment. A computer-vision algorithm incorporated with the system is robust against optical challenges such as changing light conditions, specularities, and inter-reflections among various surgical instruments. The system estimates 2D pose (as opposed to a more challenging 3D pose) using a camera with normal room lighting to identify each object, including its specified data matrix barcode; and incorporates the use of a robotic arm with a compliant electromagnetic gripper to handle objects having large shape variance. The system can then relocate the objects as desired. The robot manipulator is utilized in hospital and research settings, manufacturing, and sterile environments.

    Abstract translation: 本公开的实施例包括基于视觉的机器人操纵系统,其从杂乱的环境识别,单独和移除单个外科器械。 与系统结合的计算机视觉算法对于诸如改变各种手术器械中的光条件,镜面反射和相互反射之类的光学挑战是鲁棒的。 该系统使用具有正常房间照明的相机来估计2D姿态(与更具挑战性的3D姿势相反)来识别每个对象,包括其指定的数据矩阵条形码; 并且结合使用具有柔性电磁夹具的机器臂来处理具有大形状差异的物体。 然后,系统可以根据需要重新定位对象。 机器人操纵器用于医院和研究设施,制造和无菌环境。

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