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    • 42. 发明申请
    • Mutual Symmetry Detection
    • 相互对称检测
    • US20070297681A1
    • 2007-12-27
    • US11850956
    • 2007-09-06
    • Lothar Wenzel
    • Lothar Wenzel
    • G06K9/46
    • G06K9/4609G06K9/48G06K9/52
    • System and method for detecting symmetries of configurations of discrete curves. Configuration characterization information for a configuration of a plurality of discrete curves is received, where the configuration characterization information comprises rotational symmetry groups for each of the plurality of discrete curves. A greatest common divisor of the rotational symmetry groups of the discrete curves is determined, where the greatest common divisor is a maximum possible object-based mutual rotational symmetry group for the configuration. The determined value is stored, and is usable to perform pattern matching between configurations. This value may be compared to that of a target configuration to determine if the two configurations can match. Additional symmetry-based matching techniques are used to perform staged pattern matching between the two configurations, where the process may terminate as soon as one of the techniques determines that the configurations cannot match, or a matching algorithm determines that they match.
    • 用于检测离散曲线配置对称性的系统和方法。 接收用于多个离散曲线的配置的配置表征信息,其中配置表征信息包括用于多个离散曲线中的每一个的旋转对称组。 确定离散曲线的旋转对称组的最大公约数,其中最大公因数是用于配置的最大可能的基于对象的相互旋转对称组。 确定的值被存储,并且可用于执行配置之间的模式匹配。 该值可以与目标配置的值进行比较,以确定两个配置是否匹配。 附加的基于对称的匹配技术用于执行两种配置之间的分段模式匹配,其中只要一种技术确定配置不匹配,或匹配算法确定它们匹配,则过程可以终止。
    • 43. 发明授权
    • Pattern matching using multiple techniques
    • 使用多种技术的模式匹配
    • US07233699B2
    • 2007-06-19
    • US10100418
    • 2002-03-18
    • Lothar WenzelNicolas VazquezKevin L. SchultzDinesh Nair
    • Lothar WenzelNicolas VazquezKevin L. SchultzDinesh Nair
    • G06K9/62
    • G06T7/0004G06K9/6857
    • A system and method for performing pattern matching to locate zero or more instances of a template image in a target image. An image is received by a computer from an image source, e.g., a camera. First pattern matching is performed on the image using a first pattern matching technique to determine a plurality of candidate areas. Second pattern matching is performed on each of the candidate areas using a second different pattern matching technique to generate final pattern match results. An output is generated indicating the final pattern match results. The second pattern matching may determine a second plurality of candidate areas which may be analyzed to determine the final pattern match results. The first pattern matching may use a plurality of pattern matching techniques, the results of which may be used to select a best technique from the plurality of techniques to use for the second pattern match.
    • 一种用于执行模式匹配以在目标图像中定位零个或多个模板图像实例的系统和方法。 计算机从图像源(例如相机)接收图像。 使用第一模式匹配技术对图像执行第一模式匹配以确定多个候选区域。 使用第二不同的模式匹配技术对每个候选区域执行第二模式匹配以生成最终模式匹配结果。 生成指示最终模式匹配结果的输出。 第二模式匹配可以确定可以被分析以确定最终模式匹配结果的第二多个候选区域。 第一模式匹配可以使用多个模式匹配技术,其结果可以用于从用于第二模式匹配的多种技术中选择最佳技术。
    • 44. 发明授权
    • Generating a curve matching mapping operator by analyzing objects of interest and background information
    • 通过分析感兴趣的对象和背景信息来生成曲线匹配映射运算符
    • US07136505B2
    • 2006-11-14
    • US10264059
    • 2002-10-03
    • Lothar WenzelRam RajagopalSatish V. KumarDarren R. SchmidtKevin M. CrottyMatthew S. FisherDinesh Nair
    • Lothar WenzelRam RajagopalSatish V. KumarDarren R. SchmidtKevin M. CrottyMatthew S. FisherDinesh Nair
    • G06K9/00
    • G06K9/6204G06K9/48
    • System and method for determining a mapping operator for use in a pattern matching application, where the mapping operator enhances differences between respective objects of interest and background objects, e.g., objects not of interest. First and second information is received regarding an object of interest and objects that may appear with the object of interest in an acquired target data set, respectively. The mapping operator is determined using the first information and the second information by determining a template discrete curve characterizing the object of interest, determining one or more target discrete curves characterizing the background objects, and generating a mapping operator that enhances differences between the mapped template discrete curve and the mapped target discrete curves. The operator is stored in a memory and is operable to be used in a pattern matching application to locate instances of the object of interest in acquired target data sets or images.
    • 用于确定在模式匹配应用中使用的映射运算符的系统和方法,其中所述映射运算符增强各个感兴趣对象和背景对象(例如,不感兴趣的对象)之间的差异。 接收关于感兴趣的对象的信息和在所获取的目标数据集中可能与感兴趣的对象一起出现的对象的第一和第二信息。 使用第一信息和第二信息确定映射运算符,通过确定表征感兴趣对象的模板离散曲线,确定表征背景对象的一个​​或多个目标离散曲线,以及生成增强映射模板离散化之间的差异的映射运算符 曲线和映射的目标离散曲线。 操作者被存储在存储器中,并可操作以在模式匹配应用中使用以定位所获取的目标数据集或图像中的感兴趣对象的实例。
    • 46. 发明授权
    • System and method for precise location of a point of interest
    • 用于精确定位感兴趣点的系统和方法
    • US06950552B2
    • 2005-09-27
    • US09876985
    • 2001-06-08
    • Dinesh NairRam RajagopalLothar Wenzel
    • Dinesh NairRam RajagopalLothar Wenzel
    • G06K9/20G06K9/50G06K9/52G06K9/46
    • G06K9/50G06K9/20G06K9/52
    • A scanning system and method for locating a point within a region. The method may: 1) determine or locate a region of interest in the region; 2) determine one or more characteristics of the region of interest within the region, wherein the region of interest includes the point of interest; 3) determine a continuous trajectory based on the one or more characteristics of the region of interest; 4) measure the region of interest at a plurality of points along the continuous trajectory to generate a sample data set; 5) perform a surface fit of the sample data set using the approximate model to generate a parameterized surface; and 6) calculate a location of the point of interest based on the parameterized surface. The method may include measuring the region at and/or near the calculated location to confirm the solution, and may also include generating output comprising the results.
    • 一种用于定位区域内的点的扫描系统和方法。 该方法可以:1)确定或定位该区域中的感兴趣区域; 2)确定区域内的感兴趣区域的一个或多个特征,其中所述感兴趣区域包括兴趣点; 3)基于感兴趣区域的一个或多个特征来确定连续轨迹; 4)沿着连续轨迹测量多个点处的感兴趣区域以产生样本数据集; 5)使用近似模型执行样本数据集的表面拟合,以生成参数化表面; 和6)基于参数化表面计算兴趣点的位置。 该方法可以包括测量所计算的位置处和/或附近的区域以确定解决方案,并且还可以包括生成包括结果的输出。
    • 47. 发明授权
    • System and method for scanning a region using conformal mapping
    • 使用保形图扫描区域的系统和方法
    • US06820032B2
    • 2004-11-16
    • US09877314
    • 2001-06-08
    • Lothar WenzelRam RajagopalDinesh NairJoseph TingSundeep Chandhoke
    • Lothar WenzelRam RajagopalDinesh NairJoseph TingSundeep Chandhoke
    • G01B322
    • G06T7/0004G01B11/2518G05B2219/32212G05B2219/40554G06K9/20G06K9/50G06K9/52G06Q10/047Y02P90/22
    • A system and method for scanning for an object within a region using a conformal scanning scheme. The system may comprise a computer which includes a CPU and a memory medium which is operable to store one or more programs executable by the CPU to perform the method. The method may: 1) determine the characteristic geometry of the region; 2) generate a conformal scanning curve based on the characteristic geometry of the region by performing a conformal mapping between the characteristic geometry and a first scanning curve to generate the conformal scanning curve, i.e., mapping points of the first scanning curve to the characteristic geometry of the region; and 3) scan the region using the conformal scanning curve. These measurements of the region produce data indicative of one or more characteristics of the object. The method may also generate output indicating the one or more characteristics of the object.
    • 一种用于使用共形扫描方案扫描区域内的对象的系统和方法。 该系统可以包括计算机,其包括CPU和存储介质,该存储介质可操作以存储由CPU执行的一个或多个程序以执行该方法。 该方法可以:1)确定该区域的特征几何; 2)通过执行特征几何和第一扫描曲线之间的共形映射来生成基于区域的特征几何形状的共形扫描曲线,以产生共形扫描曲线,即,将第一扫描曲线的点映射到特征几何形状 该区域; 和3)使用共形扫描曲线扫描该区域。 该区域的这些测量产生指示对象的一个​​或多个特征的数据。 该方法还可以产生指示对象的一个​​或多个特征的输出。
    • 48. 发明授权
    • Signal analysis system and method for determining a closest vector from a vector collection to an input signal
    • 用于确定从矢量集合到输入信号的最近矢量的信号分析系统和方法
    • US06535640B1
    • 2003-03-18
    • US09560695
    • 2000-04-27
    • Ram RajagopalLothar WenzelDinesh Nair
    • Ram RajagopalLothar WenzelDinesh Nair
    • G06K962
    • G06K9/6276G06K9/6203
    • A signal analysis system/method, for identifying the closest vector in a vector collection to a given input signal vector, comprising an input, a memory, and a processing unit. The memory stores a collection of vectors, and a table of mutual distances between pairs of the vectors in the collection. The processing unit may receive an input vector corresponding to the input signal. The processing unit may be further configured to: (a) select a vector from a current collection; (b) compute the distance of the input vector to the selected vector; (c) determine if the computed distance is smaller than a bounding radius value; (d) perform an annular filtration in response to the computed distance not being smaller than the bounding radius value, wherein the annular filtration retains in the current collection only those vectors whose tabulated distances from the selected vector are greater than the computed distance minus a radius value, and less than the computed distance plus the radius value; and to iteratively perform (a), (b), (c) and (d) until the computed distance to the selected point is smaller than the radius value, whereupon, the processor may identify the selected vector as the solution vector (i.e. the closest vector of the vector collection to the input vector), and may provide an output indication to a user in response this identification.
    • 一种信号分析系统/方法,用于将给定输入信号向量的矢量集合中的最近矢量识别,包括输入,存储器和处理单元。 存储器存储向量的集合,以及集合中向量对之间的相互距离的表。 处理单元可以接收与输入信号相对应的输入向量。 处理单元还可以被配置为:(a)从当前集合中选择一个向量; (b)计算输入向量与所选向量的距离; (c)确定所计算的距离是否小于边界半径值; (d)响应于计算出的距离不小于边界半径值来执行环形过滤,其中环形过滤仅保留当前集合中那些与所选择的向量的列表距离大于所计算的距离减去半径的向量 值,小于计算距离加上半径值; 并且迭代地执行(a),(b),(c)和(d),直到所选择的点的计算距离小于半径值,于是处理器可以将所选择的向量识别为解向量(即, 矢量集合的最接近的向量到输入向量),并且可以响应于该标识向用户提供输出指示。
    • 49. 发明授权
    • System and method for sampling and/or placing objects using low discrepancy sequences
    • 使用低差异序列采样和/或放置物体的系统和方法
    • US06370270B1
    • 2002-04-09
    • US09385121
    • 1999-08-27
    • Dinesh NairLothar WenzelNicolas VazquezSamson DeKey
    • Dinesh NairLothar WenzelNicolas VazquezSamson DeKey
    • G06K962
    • G06K9/6203G06K2209/19G06T7/223G06T7/248G06T7/74G06T2207/10016G06T2207/30108
    • A system and method for improved image characterization, object placement, and mesh design utilizing Low Discrepancy sequences. The Low Discrepancy sequence is designed to produce sample points which maximally avoid one another, i.e., the distance between any two sample points is maximized. The invention may be applied specifically to methods of image characterization, pattern matching, acquiring image statistics, object location, image reconstruction, motion estimation, object placement, sensor placement, and mesh design, among others. Image characterization is performed by receiving an image and then sampling the image using a Low Discrepancy sequence, also referred to as a quasi-random sequence, to determine a plurality of sample pixels in the image which characterize the image. Sensor placement is performed by generating a Low Discrepancy sequence for the desired placement application, and then selecting locations for the optimal placement of sensors using the generated Low Discrepancy sequence.
    • 一种利用低差异序列改进图像表征,物体放置和网格设计的系统和方法。 低偏差序列被设计为产生最大程度地相互避免的采样点,即,任何两个采样点之间的距离最大化。 本发明可以专门应用于图像表征,模式匹配,获取图像统计,对象位置,图像重建,运动估计,对象放置,传感器放置和网格设计等的方法。 通过接收图像并且然后使用低差异序列(也称为准随机序列)对图像进行采样来确定图像中表征图像的多个样本像素来执行图像表征。 通过为所需的放置应用生成低差分序列,然后使用生成的低差异序列选择位置以实现传感器的最佳放置来执行传感器放置。