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    IMAGE REGISTRATION PARAMETERS AND CONFIDENCE ESTIMATION FROM SENSOR DATA
    2.
    发明申请
    IMAGE REGISTRATION PARAMETERS AND CONFIDENCE ESTIMATION FROM SENSOR DATA 有权
    图像注册参数和传感器数据的信心估计

    公开(公告)号：US20120194873A1

    公开(公告)日：2012-08-02

    申请号：US13015278

    申请日：2011-01-27

    申请人： Guoyi Fu ,  Mikhail Brusnitsyn

    发明人： Guoyi Fu ,  Mikhail Brusnitsyn

    IPC分类号： H04N1/40

    CPC分类号： H04N1/3876 ,  H04N1/047 ,  H04N1/107 ,  H04N1/19594 ,  H04N2201/0414 ,  H04N2201/0471 ,  H04N2201/04734 ,  H04N2201/04737 ,  H04N2201/04743

    摘要： An off page condition or invalid sensors position data is detected by checking the errors from an initial transformation parameter estimation. If an abnormally large error is encountered, a sensor's reading (position data) may be invalid or the sensor was off page. Then the invalid sensor data will be identified and removed. Finally the transformation parameters will be re-estimated using valid sensor position data only. A weighted least-square minimization is used by considering the sensor lift situation. If a sensor is lifted, the weight for the error related to the sensor will be set to a small weight or zero. Also considered are the geometric properties of sensor locations in weighting the sensor error. A confidence measurement of the sensor data and associated error is performed. The confidence measurement is derived from an error ellipse at 95% confidence level.

    摘要翻译： 通过从初始变换参数估计检查误差来检测离页条件或无效传感器位置数据。 如果遇到异常大的错误，传感器的读数（位置数据）可能无效或传感器不在页面上。 然后将识别和移除无效的传感器数据。 最后，转换参数将仅使用有效的传感器位置数据重新估计。 通过考虑传感器升力情况，使用加权最小二乘法最小化。 如果传感器被提起，与传感器相关的误差的重量将被设置为小的重量或零。 还考虑了加权传感器误差时传感器位置的几何特性。 执行传感器数据和相关错误的置信度测量。 可信度测量来自95％置信水平的误差椭圆。

    Nano-structured particles with high thermal stability
    4.
    发明授权
    Nano-structured particles with high thermal stability 有权
    具有高热稳定性的纳米结构颗粒

    公开(公告)号：US07125536B2

    公开(公告)日：2006-10-24

    申请号：US10773941

    申请日：2004-02-06

    申请人： Guoyi Fu ,  BillieJo Monk ,  Corinne Lehaut

    发明人： Guoyi Fu ,  BillieJo Monk ,  Corinne Lehaut

    IPC分类号： B01J21/00 ,  B01J23/00 ,  C01G1/00 ,  C01G25/00

    CPC分类号： B01J21/066 ,  B01J21/06 ,  B01J27/188 ,  B01J35/023 ,  B82Y30/00 ,  C01G25/00 ,  C01G25/02 ,  C01P2002/72 ,  C01P2004/64 ,  C01P2006/12 ,  C01P2006/16 ,  C01P2006/17 ,  Y10S977/773 ,  Y10S977/775 ,  Y10S977/811

    摘要： This invention relates to a composition comprising nano-structured metal oxide particles (particularly, zirconia) and at least one stabilizing agent, a method to produce the composition, and a method to produce the thermally stable nano-structured particles. The method to produce the nano-structured particles comprises first preparing a base solution and a nanoparticle precursor solution, then combining these solutions at a final pH 7 or greater to precipitate a colloidal hydrous oxide. The colloidal hydrous oxide is then treated with at least one silicate, phosphate, or aluminum phosphate stabilizing agent and dried. These nano-structured particle products have high thermal stability and are particularly advantageous in applications as catalysts or catalyst supports that operate at high temperatures.

    摘要翻译： 本发明涉及包含纳米结构金属氧化物颗粒（特别是氧化锆）和至少一种稳定剂的组合物，制备该组合物的方法和一种制备该热稳定纳米结构颗粒的方法。 制备纳米结构颗粒的方法包括首先制备碱溶液和纳米颗粒前体溶液，然后将这些溶液在最终pH 7或更高的pH值下混合以沉淀出胶体水合氧化物。 然后用至少一种硅酸盐，磷酸盐或磷酸铝稳定剂处理胶体水合氧化物并干燥。 这些纳米结构的颗粒产品具有高热稳定性，并且在作为在高温下操作的催化剂或催化剂载体的应用中是特别有利的。

    System and method for real-time image retensioning and loop error correction
    9.
    发明授权
    System and method for real-time image retensioning and loop error correction 有权
    用于实时图像延迟和循环纠错的系统和方法

    公开(公告)号：US08437497B2

    公开(公告)日：2013-05-07

    申请号：US13015285

    申请日：2011-01-27

    申请人： Guoyi Fu ,  Mikhail Brusnitsyn

    发明人： Guoyi Fu ,  Mikhail Brusnitsyn

    IPC分类号： G06K9/00

    CPC分类号： H04N1/387 ,  G06T3/0068 ,  G06T7/33 ,  G06T2207/10008 ,  G06T2207/10024 ,  G06T2207/20221 ,  G06T2207/30176 ,  H04N1/107 ,  H04N1/3871 ,  H04N1/3876 ,  H04N2201/04787

    摘要： Due to an accumulated error from the pair-wise registration, the stitched image may be blurred or have a gap when a loop is encountered. In order to remove the accumulated error, we identify a closed loop where a first image frame overlaps with a second image frame, the second image frame being captured earlier in a scanning sequence than the first image frame; register the first image frame with the second image frame; and apply a global optimization to adjust registration parameters for the plurality of pair-wise registrations of image frames within the closed loop using global constraints.

    摘要翻译： 由于来自成对配准的累积误差，缝合图像可能会模糊，或者当遇到环路时具有间隙。 为了消除累积的误差，我们识别第一图像帧与第二图像帧重叠的闭环，第二图像帧以比第一图像帧更早的扫描顺序被捕获; 用第二个图像帧注册第一个图像帧; 并且使用全局约束来应用全局优化来调整闭环中的图像帧的多个成对注册的注册参数。