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    • 12. 发明申请
    • Three-dimensional motion capture
    • 三维运动捕捉
    • US20060228101A1
    • 2006-10-12
    • US11384211
    • 2006-03-16
    • Steve SullivanColin Davidson
    • Steve SullivanColin Davidson
    • G03B17/00
    • G06T15/06G03B15/16G03B17/00G03B35/00G06T7/285G06T7/70G06T15/08G06T2200/04G06T2207/10016G06T2207/30204G06T2215/16H04N13/204
    • In one general aspect, a method is described. The method includes generating a positional relationship between one or more support structures having at least one motion capture mark and at least one virtual structure corresponding to geometry of an object to be tracked and positioning the support structures on the object to be tracked. The support structures has sufficient rigidity that, if there are multiple marks, the marks on each support structure maintain substantially fixed distances from each other in response to movement by the object. The method also includes determining an effective quantity of ray traces between one or more camera views and one or more marks on the support structures, and estimating an orientation of the virtual structure by aligning the determined effective quantity of ray traces with a known configuration of marks on the support structures.
    • 在一般的方面,描述了一种方法。 该方法包括产生具有至少一个运动捕捉标记的一个或多个支撑结构与对应于要跟踪的对象的几何形状的至少一个虚拟结构之间的位置关系,并将支撑结构定位在待跟踪对象上。 支撑结构具有足够的刚性,如果存在多个标记,则每个支撑结构上的标记响应于物体的移动而保持彼此基本上固定的距离。 该方法还包括确定一个或多个照相机视图与支撑结构上的一个或多个标记之间的有效射线轨迹数量,以及通过将所确定的有效光线迹线与已知的标记配置对准来估计虚拟结构的取向 在支撑结构上。
    • 14. 发明授权
    • Rotating machine
    • 旋转机
    • US06149383A
    • 2000-11-21
    • US125088
    • 1999-01-08
    • Colin DavidsonJames Walkingshaw
    • Colin DavidsonJames Walkingshaw
    • F04D7/04F04D29/16F04D29/22F01D25/00F03B11/00
    • F04D29/167F04D29/2266F04D7/045
    • A rotating machine such as a submersible pump which comprises a casing (1) and a rotor (2) which is rotatable relative to the casing (1). The casing defines an aperature adjacent to which the rotor is positioned such that an annular gap is formed around the aperture between a first surface defined by the rotor (2) and a second surface (9) defined by the casing (1). One or both of the first and second surfaces is provided with a surface structure which is operative to prevent the accumulation of material within the gap. The irregular surface may be defined by for example a screw thread.
    • PCT No.PCT / GB97 / 00419 Sec。 371日期1999年1月8日第 102(e)日期1999年1月8日PCT提交1997年2月14日PCT公布。 公开号WO97 / 30289 日期1997年8月21日一种旋转机器,例如潜水泵,其包括可相对于壳体(1)旋转的壳体(1)和转子(2)。 壳体限定了邻近转子定位的温度,使得在由转子(2)限定的第一表面和由壳体(1)限定的第二表面(9)之间围绕孔形成环形间隙。 第一和第二表面中的一个或两个设置有表面结构,其可操作以防止材料在间隙内积聚。 不规则表面可以由例如螺纹线限定。
    • 17. 发明申请
    • Three-Dimensional Motion Capture
    • 三维运动捕捉
    • US20100002934A1
    • 2010-01-07
    • US12558806
    • 2009-09-14
    • Steve SullivanColin Davidson
    • Steve SullivanColin Davidson
    • G06T1/00G06K9/00G06T15/70G06T15/00
    • G06T15/06G03B15/16G03B17/00G03B35/00G06T7/285G06T7/70G06T15/08G06T2200/04G06T2207/10016G06T2207/30204G06T2215/16H04N13/204
    • In one general aspect, a method is described. The method includes generating a positional relationship between one or more support structures having at least one motion capture mark and at least one virtual structure corresponding to geometry of an object to be tracked and positioning the support structures on the object to be tracked. The support structures has sufficient rigidity that, if there are multiple marks, the marks on each support structure maintain substantially fixed distances from each other in response to movement by the object. The method also includes determining an effective quantity of ray traces between one or more camera views and one or more marks on the support structures, and estimating an orientation of the virtual structure by aligning the determined effective quantity of ray traces with a known configuration of marks on the support structures.
    • 在一般的方面,描述了一种方法。 该方法包括产生具有至少一个运动捕捉标记的一个或多个支撑结构与对应于要跟踪的对象的几何形状的至少一个虚拟结构之间的位置关系,并将支撑结构定位在待跟踪对象上。 支撑结构具有足够的刚性,如果存在多个标记,则每个支撑结构上的标记响应于物体的移动而保持彼此基本上固定的距离。 该方法还包括确定一个或多个照相机视图与支撑结构上的一个或多个标记之间的有效射线轨迹数量,以及通过将所确定的有效光线迹线与已知的标记配置对准来估计虚拟结构的取向 在支撑结构上。
    • 18. 发明授权
    • Method and circuit for setup and hold detect pass-fail test mode
    • 用于建立和保持检测通过失败测试模式的方法和电路
    • US06904551B1
    • 2005-06-07
    • US09790159
    • 2001-02-20
    • Colin Davidson
    • Colin Davidson
    • G11C29/00G11C29/40
    • G11C29/1201G11C11/41G11C29/40G11C2029/3202
    • A method and circuit thereof for performing setup and hold (SUAH) testing on integrated circuits including, but not limited to SRAM, utilizing a relatively low number of test vectors, obviating the conventional requirement of writing to and reading back from each and every memory address. In one embodiment, a first test data signal of all zeros (0) is inputted to the input stage of the SRAM under test, and a subsequent second data signal of all ones (1) follows. In one embodiment, XOR/XNOR gates detect differences in data signals between the inputs and outputs of input stage latches/registers after clocking. In one embodiment, detected differences are combined into an error signal in combinational logic. In one embodiment, error signals are exported serially to a test system by a scan chain. Alternatively, in another embodiment, error signals are exported in parallel via individual output drivers.
    • 一种用于对集成电路进行建立和保持(SUAH)测试的方法和电路,包括但不限于使用相对较少数量的测试向量的SRAM,从而避免了从每个存储器地址写入和读取的常规要求 。 在一个实施例中,将全零(0)的第一测试数据信号输入到待测SRAM的输入级,并且随后的所有(1)的后续第二数据信号。 在一个实施例中,XOR / XNOR门在时钟后检测输入级锁存器/寄存器的输入和输出之间的数据信号的差异。 在一个实施例中,检测到的差异被组合成组合逻辑中的误差信号。 在一个实施例中,错误信号通过扫描链串行输出到测试系统。 或者,在另一个实施例中,通过各个输出驱动器并行输出错误信号。
    • 19. 发明授权
    • Feature correspondence between images using an image pyramid
    • 使用图像金字塔的图像之间的特征对应
    • US06741757B1
    • 2004-05-25
    • US09519794
    • 2000-03-07
    • Philip H. S. TorrColin Davidson
    • Philip H. S. TorrColin Davidson
    • G06K932
    • G06K9/00154G06K9/6857
    • Feature correspondence between images using an image pyramid is disclosed. In one embodiment, a fundamental matrix between a first and a second image is generated from the image pyramid. The image pyramid is first generated, and has a predetermined number of fineness levels, from a coarsest to a finest level. Each of the images has significant features at each pyramid level. A plurality of hypotheses, or particles, is generated for the fundamental matrix at the coarsest level, based on matching significant features of the images at the coarsest level. In an iterative procession through the levels of the image pyramid, starting at a present level initially set to the coarsest level and then subsequently advanced by one fineness level upon each iteration, an importance sampling function is first formulated from the hypotheses. The plurality of hypotheses is then generated at the next pyramid level based on the function, and on the significant features of the images at this next level. The iteration is complete when the next level has reached the finest pyramid level. The hypotheses generated at the finest level encapsulate the fundamental matrix together with its uncertainty.
    • 公开了使用图像金字塔的图像之间的特征对应。 在一个实施例中,从图像金字塔生成第一和第二图像之间的基本矩阵。 首先产生图像金字塔,并且具有预定数量的细度水平,从最粗糙到最高水平。 每个图像在每个金字塔级别都有显着的特征。 基于在最粗糙级别的图像的匹配显着特征,为最粗糙级别的基本矩阵生成多个假设或粒子。 在通过图像金字塔的层次的迭代游行中,从最初设置为最粗糙级别的当前级别开始,然后在每次迭代上随后提前一个细度级别,首先从假设来制定重要性抽样函数。 然后在下一个金字塔级别基于该功能以及在下一级的图像的显着特征上生成多个假设。 当下一级达到最好的金字塔级别时,迭代完成。 最高层次产生的假设包含了基本矩阵及其不确定性。