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1. 发明申请

WO2012076979A1 MODEL-BASED POSE ESTIMATION USING A NON-PERSPECTIVE CAMERA 审中-公开
标题翻译：使用非视觉摄像机的基于模型的位置估计
公开(公告)号：WO2012076979A1
公开(公告)日：2012-06-14
申请号：PCT/IB2011/003044
申请日：2011-12-14
申请人： COGNEX CORPORATION , LIU, Lifeng , WALLACK, Aaron, S. , MARRION, Cyril, C., Jr.
发明人： LIU, Lifeng , WALLACK, Aaron, S. , MARRION, Cyril, C., Jr.
IPC分类号： G06T7/00
CPC分类号： G06T7/75 , G06T2207/10012 , G06T2207/30164
摘要： This invention provides a system and method for determining correspondence between camera assemblies in a 3D vision system so as to acquire contemporaneous images of a runtime object and determine the pose of the object, and in which at least one of the camera assemblies includes a non-perspective lens. The searched 2D object features of the acquired non-perspective image can be combined with the searched 2D object features in images of other camera assemblies, based on their trained object features, to generate a set of 3D image features and thereby determine a 3D pose. Also provided is a system and method for training and performing runtime 3D pose determination of an object using a plurality of camera assemblies in a 3D vision system. The cameras are arranged at different orientations with respect to a scene, so as to acquire contemporaneous images of an object, both at training and runtime.
摘要翻译：本发明提供了一种用于确定3D视觉系统中的相机组件之间的对应关系以便获取运行时对象的同时图像并确定对象的姿态的系统和方法，并且其中至少一个相机组件包括：透视镜所获取的非透视图像的所搜索的2D对象特征可以基于其训练对象特征与其他相机组件的图像中的搜索到的2D对象特征组合，以生成一组3D图像特征，从而确定3D姿态。还提供了一种用于在3D视觉系统中使用多个相机组件来训练和执行对象的运动时间3D姿势确定的系统和方法。照相机相对于场景以不同的方向布置，以便在训练和运行时获取对象的同时期图像。

2. 发明申请

WO2011143576A2 SYSTEM AND METHOD FOR ROBUST CALIBRATION BETWEEN A MACHINE VISION SYSTEM AND A ROBOT 审中-公开
标题翻译：机器视觉系统与机器人之间的稳健校准的系统和方法
公开(公告)号：WO2011143576A2
公开(公告)日：2011-11-17
申请号：PCT/US2011/036460
申请日：2011-05-13
申请人： COGNEX TECHNOLOGY AND INVESTMENT CORPORATION , WALLACK, Aaron, S. , LIU, Lifeng , YE, Xiangyun
发明人： WALLACK, Aaron, S. , LIU, Lifeng , YE, Xiangyun
IPC分类号： B25J9/16
CPC分类号： B25J9/1692 , B25J9/1607 , B25J9/1697 , G05B2219/39008 , G05B2219/39022 , G05B2219/39045 , G05B2219/39057 , G06T7/80 , Y10S901/09
摘要： A system and method for robustly calibrating a vision system and a robot is provided. The system and method enables a plurality of cameras to be calibrated into a robot base coordinate system to enable a machine vision/robot control system to accurately identify the location of objects of interest within robot base coordinates.
摘要翻译：提供了用于鲁棒校准视觉系统和机器人的系统和方法。该系统和方法使得能够将多个摄像机校准成机器人基座坐标系，以使机器视觉/机器人控制系统能够精确地识别机器人基准坐标内的感兴趣物体的位置。

3. 发明申请

WO2011143576A3 SYSTEM AND METHOD FOR ROBUST CALIBRATION BETWEEN A MACHINE VISION SYSTEM AND A ROBOT 审中-公开
标题翻译：机器视觉系统与机器人之间的稳健校准的系统和方法
公开(公告)号：WO2011143576A3
公开(公告)日：2012-08-09
申请号：PCT/US2011036460
申请日：2011-05-13
申请人： COGNEX TECH & INVESTMENT CORP , WALLACK AARON S , LIU LIFENG , YE XIANGYUN
发明人： WALLACK AARON S , LIU LIFENG , YE XIANGYUN
IPC分类号： B25J9/16 , G06T7/00
CPC分类号： B25J9/1692 , B25J9/1607 , B25J9/1697 , G05B2219/39008 , G05B2219/39022 , G05B2219/39045 , G05B2219/39057 , G06T7/80 , Y10S901/09
摘要： A system and method for robustly calibrating a vision system and a robot is provided. The system and method enables a plurality of cameras (105A, 105B, 105C) to be calibrated into a robot base (110) coordinate system to enable a machine vision/robot control system to accurately identify the location of objects of interest within robot base (110) coordinates.
摘要翻译：提供了用于鲁棒校准视觉系统和机器人的系统和方法。该系统和方法使得能够将多个照相机（105A，105B，105C）校准成机器人基座（110）坐标系，以使机器视觉/机器人控制系统能够精确地识别机器人基座内的感兴趣物体的位置（ 110）坐标。

4. 发明申请

WO2012051968A4 NEURON DEVICE AND NEURAL NETWORK 审中-公开
标题翻译：神经元装置与神经网络
公开(公告)号：WO2012051968A4
公开(公告)日：2012-06-14
申请号：PCT/CN2011081733
申请日：2011-11-03
申请人： UNIV BEIJING , KANG JINFENG , GAO BIN , ZHANG FEIFEI , CHEN BING , LIU LIFENG , LIU XIAOYAN
发明人： KANG JINFENG , GAO BIN , ZHANG FEIFEI , CHEN BING , LIU LIFENG , LIU XIAOYAN
IPC分类号： G06N3/06
CPC分类号： G06N3/063
摘要： A neuron device and a neural network is disclosed. The neuron device comprises a bottom electrode, a top electrode, and a layer of metal oxide variable resistance material sandwiched between the bottom electrode and the top electrode, wherein the neuron device is switched to a normal state upon application of reset pulse, and is switched to an excitation state upon application of stimulus pulses. The neuron device has comprehensive responses to different amplitude, different width of a stimulus voltage pulse and different number of a sequence of stimulus pulses, and provides functionalities of a weighting section and a computing section. The neuron device is capable of performing many biological functions and complex logic operations.
摘要翻译：公开了神经元装置和神经网络。神经元装置包括底部电极，顶部电极和夹在底部电极和顶部电极之间的金属氧化物可变电阻材料层，其中神经元装置在施加复位脉冲时被切换到正常状态，并被切换到施加刺激脉冲时的激发状态。神经元装置对不同振幅，不同宽度的刺激电压脉冲和不同数量的刺激脉冲序列具有全面的响应，并且提供加权部分和计算部分的功能。神经元装置能够执行许多生物功能和复杂的逻辑操作。

5. 发明申请

WO2012051968A1 NEURON DEVICE AND NEURAL NETWORK 审中-公开
标题翻译：神经元设备和神经网络
公开(公告)号：WO2012051968A1
公开(公告)日：2012-04-26
申请号：PCT/CN2011/081733
申请日：2011-11-03
申请人： PEKING UNIVERSITY , KANG, Jinfeng , GAO, Bin , ZHANG, Feifei , CHEN, Bing , LIU, Lifeng , LIU, Xiaoyan
发明人： KANG, Jinfeng , GAO, Bin , ZHANG, Feifei , CHEN, Bing , LIU, Lifeng , LIU, Xiaoyan
IPC分类号： G06N3/06
CPC分类号： G06N3/063
摘要： A neuron device and a neural network is disclosed. The neuron device comprises a bottom electrode, a top electrode, and a layer of metal oxide variable resistance material sandwiched between the bottom electrode and the top electrode, wherein the neuron device is switched to a normal state upon application of reset pulse, and is switched to an excitation state upon application of stimulus pulses. The neuron device has comprehensive responses to different amplitude, different width of a stimulus voltage pulse and different number of a sequence of stimulus pulses, and provides functionalities of a weighting section and a computing section. The neuron device is capable of performing many biological functions and complex logic operations.
摘要翻译：公开了神经元装置和神经网络。神经元装置包括底部电极，顶部电极和夹在底部电极和顶部电极之间的金属氧化物可变电阻材料层，其中神经元装置在施加复位脉冲时切换到正常状态，并被切换在施加刺激脉冲时达到激发状态。神经元装置具有对刺激电压脉冲的不同幅度，不同宽度和不同数量的刺激脉冲序列的综合响应，并且提供加权部分和计算部分的功能。神经元器件能够执行许多生物学功能和复杂的逻辑运算。

6. 发明申请

WO2010077524A1 SYSTEM AND METHOD FOR THREE-DIMENSIONAL ALIGNMENT OF OBJECTS USING MACHINE VISION 审中-公开
标题翻译：使用机器视觉的三维对准对象的系统和方法
公开(公告)号：WO2010077524A1
公开(公告)日：2010-07-08
申请号：PCT/US2009/066247
申请日：2009-12-01
申请人： COGNEX CORPORATION , MARRION, Cyril, C. , FOSTER, Nigel, J. , LIU, Lifeng , LI, David, Y. , SHIVARAM, Guruprasad , WALLACK, Aaron, S. , YE, Xiangyun
发明人： MARRION, Cyril, C. , FOSTER, Nigel, J. , LIU, Lifeng , LI, David, Y. , SHIVARAM, Guruprasad , WALLACK, Aaron, S. , YE, Xiangyun
IPC分类号： G06K9/64 , G06K9/00
CPC分类号： G06K9/00214 , G06K9/6211
摘要： This invention provides a system and method for determining the three-dimensional alignment of a modeled object or scene. After calibration, a 3D (stereo) sensor system views the object to derive a runtime 3D representation of the scene containing the object. Rectified images from each stereo head are preprocessed to enhance their edge features. A stereo matching process is then performed on at least two (a pair) of the rectified preprocessed images at a time by locating a predetermined feature on a first image and then locating the same feature in the other image. 3D points are computed for each pair of cameras to derive a 3D point cloud. The 3D point cloud is generated by transforming the 3D points of each camera pair into the world 3D space from the world calibration. The amount of 3D data from the point cloud is reduced by extracting higher-level geometric shapes (HLGS), such as line segments. Found HLGS from runtime are corresponded to HLGS on the model to produce candidate 3D poses. A coarse scoring process prunes the number of poses. The remaining candidate poses are then subjected to a further more-refined scoring process. These surviving candidate poses are then verified by, for example, fitting found 3D or 2D points of the candidate poses to a larger set of corresponding three-dimensional or two-dimensional model points, whereby the closest match is the best refined three-dimensional pose.
摘要翻译：本发明提供了一种用于确定建模对象或场景的三维对准的系统和方法。校准后，3D（立体声）传感器系统会查看对象以导出包含对象的场景的运行时3D表示。来自每个立体声头的整流图像被预处理以增强其边缘特征。然后，通过在第一图像上定位预定特征，然后将另一图像中的相同特征定位，对至少两（一对）经整流的预处理图像执行立体匹配处理。为每对相机计算3D点以导出3D点云。 3D点云是通过将世界三维空间中的每个摄像机对的3D点变换为世界校准而产生的。通过提取诸如线段的较高级几何形状（HLGS）来减少来自点云的3D数据量。从运行时发现的HLGS对应于模型上的HLGS，以产生候选的3D姿势。粗略的评分过程会减少姿势的数量。然后，剩下的候选姿势进一步进行更精细的评分过程。然后通过例如将候选姿势的3D或2D点拟合到较大的一组相应的三维或二维模型点来验证这些幸存的候选姿势，由此最接近的匹配是最佳精细三维姿态。

7. 发明申请

WO2010064736A1 THERAPEUTIC AGENT FOR CANCER 审中-公开
标题翻译：癌症治疗剂
公开(公告)号：WO2010064736A1
公开(公告)日：2010-06-10
申请号：PCT/JP2009/070791
申请日：2009-12-07
申请人： NATIONAL UNIVERSITY CORPORATION KUMAMOTO UNIVERSITY , LINK GENOMICS, INC. , NAKAO, Mitsuyoshi , LIU, Lifeng , ISHIHARA, Ko
发明人： NAKAO, Mitsuyoshi , LIU, Lifeng , ISHIHARA, Ko
IPC分类号： A61K45/00 , A61K31/7088 , A61K39/395 , A61K48/00 , A61P35/00 , A61P43/00 , C12N15/113 , C12Q1/48 , C12Q1/68
CPC分类号： C07K16/40 , A61K31/7088 , C12N15/113 , C12N2310/14 , C12Q1/48 , G01N33/5011 , G01N33/5023 , G01N33/6875 , G01N2333/91245 , G01N2500/02
摘要： The present invention provides a composition for treating caner comprising an agent that inhibits the expression of MCAF1 gene or Sp1 gene, or an agent that inhibits the activities of MCAF1 protein or Sp1 protein. The present invention further provides a method for screening for an agent that inhibits the expression of MCAF1 gene or Sp1 gene, or an agent that inhibits the activities of MCAF1 protein or Sp1 protein.
摘要翻译：本发明提供一种治疗犬的组合物，其包含抑制MCAF1基因或Sp1基因表达的试剂，或抑制MCAF1蛋白或Sp1蛋白活性的试剂。本发明还提供了筛选抑制MCAF1基因或Sp1基因表达的试剂或抑制MCAF1蛋白或Sp1蛋白活性的试剂的方法。

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