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公开(公告)号：US07680335B2
公开(公告)日：2010-03-16
申请号：US11371698
申请日：2006-03-09
CPC分类号： G06K9/6226 , G06T7/0012 , G06T7/11 , G06T7/143 , G06T2207/10081 , G06T2207/20101 , G06T2207/30064
摘要： A system and method are provided for prior-constrained mean shift analysis of a data array, the system including a processor, an input adapter in signal communication with the processor for receiving at least one data array, and a prior constraints unit in signal communication with the processor for performing a prior-constrained mean shift analysis on the at least one data array; and the method including receiving initialization data, selecting an initial point relative to the initialization data, Gaussian fitting with a prior-constrained mean shift responsive to the initial point to parse a structure, and setting the parsed structure as a prior constraint.
摘要翻译： 提供了一种用于数据阵列的先前约束平均移位分析的系统和方法，该系统包括处理器，与处理器进行信号通信的输入适配器，用于接收至少一个数据阵列，以及与信号通信中的先前约束单元， 所述处理器用于对所述至少一个数据阵列执行先前约束的平均移位分析; 并且所述方法包括接收初始化数据，相对于初始化数据选择初始点，响应于初始点解析结构的先验约束平均移位的高斯拟合，以及将解析结构设置为先前约束。
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公开(公告)号：US07995809B2
公开(公告)日：2011-08-09
申请号：US11396854
申请日：2006-04-03
IPC分类号： G06K9/00
CPC分类号： G06T7/155 , G06T7/12 , G06T7/149 , G06T2207/10081 , G06T2207/20008 , G06T2207/20116 , G06T2207/30064
摘要： By testing for nodule segmentation errors based on the scan data, juxtapleural cases are identified. Once identified, the scan data or subsequent estimation may be altered to account for adjacent rib, tissue, vessel or other structure effecting segmentation. One alteration is to shape a filter as a function of the scan data. For example, an originally estimated ellipsoid for the nodule segmentation defines the filter. The filter is used to identify the undesired information, and masking removes the undesired information for subsequent estimation of the nodule segmentation. Another possible alteration biases the subsequent estimation away from the incorrect information, such as the rib, tissue or vessel information influencing the original estimation. For example, a negative prior or probability is assigned to data corresponding to the originally estimated segmentation for the subsequent estimation.
摘要翻译： 通过基于扫描数据测试结节分割错误，确定并列案例。 一旦被识别，可以改变扫描数据或随后的估计，以考虑影响分割的相邻肋，组织，血管或其他结构。 一个改变是根据扫描数据来形成一个过滤器。 例如，用于结节分段的原始估计的椭圆体定义了滤波器。 滤波器用于识别不期望的信息，并且掩蔽去除了不期望的信息以用于随后估计结节分割。 另一种可能的改变偏离了不正确信息的后续估计，例如影响原始估计的肋骨，组织或血管信息。 例如，将负的先前或概率分配给对应于用于后续估计的最初估计的分割的数据。
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公开(公告)号：US20060269109A1
公开(公告)日：2006-11-30
申请号：US11396854
申请日：2006-04-03
CPC分类号： G06T7/155 , G06T7/12 , G06T7/149 , G06T2207/10081 , G06T2207/20008 , G06T2207/20116 , G06T2207/30064
摘要： By testing for nodule segmentation errors based on the scan data, juxtapleural cases are identified. Once identified, the scan data or subsequent estimation may be altered to account for adjacent rib, tissue, vessel or other structure effecting segmentation. One alteration is to shape a filter as a function of the scan data. For example, an originally estimated ellipsoid for the nodule segmentation defines the filter. The filter is used to identify the undesired information, and masking removes the undesired information for subsequent estimation of the nodule segmentation. Another possible alteration biases the subsequent estimation away from the incorrect information, such as the rib, tissue or vessel information influencing the original estimation. For example, a negative prior or probability is assigned to data corresponding to the originally estimated segmentation for the subsequent estimation.
摘要翻译： 通过基于扫描数据测试结节分割错误，确定并列案例。 一旦被识别，可以改变扫描数据或随后的估计，以考虑影响分割的相邻肋，组织，血管或其他结构。 一个改变是根据扫描数据来形成一个过滤器。 例如，用于结节分段的原始估计的椭圆体定义了滤波器。 滤波器用于识别不期望的信息，并且掩蔽去除了不期望的信息以用于随后估计结节分割。 另一种可能的改变偏离了不正确信息的后续估计，例如影响原始估计的肋骨，组织或血管信息。 例如，将负的先前或概率分配给对应于用于后续估计的最初估计的分割的数据。
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公开(公告)号：US20060242218A1
公开(公告)日：2006-10-26
申请号：US11371698
申请日：2006-03-09
IPC分类号： G06F7/38
CPC分类号： G06K9/6226 , G06T7/0012 , G06T7/11 , G06T7/143 , G06T2207/10081 , G06T2207/20101 , G06T2207/30064
摘要： A system and method are provided for prior-constrained mean shift analysis of a data array, the system including a processor, an input adapter in signal communication with the processor for receiving at least one data array, and a prior constraints unit in signal communication with the processor for performing a prior-constrained mean shift analysis on the at least one data array; and the method including receiving initialization data, selecting an initial point relative to the initialization data, Gaussian fitting with a prior-constrained mean shift responsive to the initial point to parse a structure, and setting the parsed structure as a prior constraint.
摘要翻译： 提供了一种用于数据阵列的先前约束平均移位分析的系统和方法，该系统包括处理器，与处理器进行信号通信的输入适配器，用于接收至少一个数据阵列，以及与信号通信中的先前约束单元， 所述处理器用于对所述至少一个数据阵列执行先前约束的平均移位分析; 并且所述方法包括接收初始化数据，相对于初始化数据选择初始点，响应于初始点解析结构的先验约束平均移位的高斯拟合，以及将解析结构设置为先前约束。
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公开(公告)号：US08212812B2
公开(公告)日：2012-07-03
申请号：US12122800
申请日：2008-05-19
申请人： Yanghai Tsin , Yakup Genc , Visvanathan Ramesh
发明人： Yanghai Tsin , Yakup Genc , Visvanathan Ramesh
IPC分类号： G06T17/00
CPC分类号： G06K9/6209 , G06F17/5095 , G06K9/3241 , G06K2209/23 , G06T17/00 , G06T19/20 , G06T2210/44 , G06T2219/2021
摘要： A method for modeling a vehicle, includes: receiving an image that includes a vehicle; and constructing a three-dimensional (3D) model of the vehicle, wherein the 3D model is constructed by: (a) taking a predetermined set of base shapes that are extracted from a subset of vehicles; (b) multiplying each of the base shapes by a parameter; (c) adding the resultant of each multiplication to form a vector that represents the vehicle's shape; (d) fitting the vector to the vehicle in the image; and (e) repeating steps (a)-(d) by modifying the parameters until a difference between a fit vector and the vehicle in the image is minimized.
摘要翻译： 一种用于建模车辆的方法，包括：接收包括车辆的图像; 以及构建所述车辆的三维（3D）模型，其中所述3D模型通过以下方式构造：（a）获取从车辆子集提取的预定的一组基本形状; （b）将每个基本形状乘以参数; （c）将每个乘法的结果相加以形成表示车辆形状的矢量; （d）将矢量拟合到图像中的车辆; 和（e）通过修改参数来重复步骤（a） - （d），直到图像中的拟合向量和车辆之间的差最小化。
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公开(公告)号：US07593547B2
公开(公告)日：2009-09-22
申请号：US11245391
申请日：2005-10-06
申请人： Anurag Mittal , Imad Zoghlami , Visvanathan Ramesh
发明人： Anurag Mittal , Imad Zoghlami , Visvanathan Ramesh
IPC分类号： G06K9/00
CPC分类号： G08B13/19613 , G06T7/254
摘要： A method and system for video-based encroachment detection are provided, the method including receiving first and second images, modeling a background from the first image, subtracting the background from the second image to provide a detection map, calibrating the size of an object from the pixel level, integrating a projection of the object with the detection map using dynamic programming, and detecting the object in a region if the projection matches that region of the detection map; and the system including a processor, a background modeling unit coupled with the processor for modeling a background from the first image and subtracting the background from the second image to provide a detection map, and a dynamic programming unit coupled with the processor for calibrating the size of an object from the pixel level, integrating a projection of the object with the detection map, and detecting the object in a region if the projection matches that region of the detection map.
摘要翻译： 提供了一种用于基于视频的侵入检测的方法和系统，所述方法包括接收第一和第二图像，从第一图像建模背景，从第二图像中减去背景以提供检测图，校准物体的大小 像素级，使用动态规划将对象的投影与检测图集成，如果投影与检测图的区域匹配，则检测区域中的对象; 并且所述系统包括处理器，与所述处理器耦合的背景建模单元，用于对来自所述第一图像的背景进行建模并从所述第二图像减去所述背景以提供检测图;以及动态编程单元，与所述处理器耦合以校准所述尺寸 从像素级别的对象，将对象的投影与检测图集成，以及如果投影匹配检测图的区域，则检测区域中的对象。
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公开(公告)号：US20080294401A1
公开(公告)日：2008-11-27
申请号：US12122800
申请日：2008-05-19
申请人： Yanghai Tsin , Yakup Genc , Visvanathan Ramesh
发明人： Yanghai Tsin , Yakup Genc , Visvanathan Ramesh
CPC分类号： G06K9/6209 , G06F17/5095 , G06K9/3241 , G06K2209/23 , G06T17/00 , G06T19/20 , G06T2210/44 , G06T2219/2021
摘要： A method for modeling a vehicle, includes: receiving an image that includes a vehicle; and constructing a three-dimensional (3D) model of the vehicle, wherein the 3D model is constructed by: (a) taking a predetermined set of base shapes that are extracted from a subset of vehicles; (b) multiplying each of the base shapes by a parameter; (c) adding the resultant of each multiplication to form a vector that represents the vehicle's shape; (d) fitting the vector to the vehicle in the image; and (e) repeating steps (a)-(d) by modifying the parameters until a difference between a fit vector and the vehicle in the image is minimized.
摘要翻译： 一种用于建模车辆的方法，包括：接收包括车辆的图像; 以及构建所述车辆的三维（3D）模型，其中所述3D模型通过以下方式构造：（a）获取从车辆子集提取的预定的一组基本形状; （b）将每个基本形状乘以参数; （c）将每个乘法的结果相加以形成表示车辆形状的矢量; （d）将矢量拟合到图像中的车辆; 和（e）通过修改参数来重复步骤（a） - （d），直到图像中的拟合向量和车辆之间的差最小化。
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8.发明授权Error propogation and variable-bandwidth mean shift for feature space analysis 有权特征空间分析误差传播和可变带宽平均偏移公开(公告)号：US07437006B2
公开(公告)日：2008-10-14
申请号：US10382437
申请日：2003-03-06
CPC分类号： G06K9/4633 , G06K9/3233
摘要： The present invention comprises using error propagation for building feature spaces with variable uncertainty and using variable-bandwidth mean shift for the analysis of such spaces, to provide peak detection and space partitioning. The invention applies these techniques to construct and analyze Hough spaces for line and geometrical shape detection, as well as to detect objects that are represented by peaks in the Hough space. This invention can be further used for background modeling by taking into account the uncertainty of the transformed image color and uncertainty of the motion flow. Furthermore, the invention can be used to segment video data in invariant spaces, by propagating the uncertainty from the original space and using the variable-bandwidth mean shift to detect peaks. The invention can be used in a variety of applications such as medical, surveillance, monitoring, automotive, augmented reality, and inspection.
摘要翻译： 本发明包括使用用于构建具有可变不确定性的特征空间的误差传播，并且使用可变带宽平均移位来分析这样的空间，以提供峰值检测和空间划分。 本发明应用这些技术来构建和分析用于线和几何形状检测的霍夫空间，以及检测由霍夫空间中的峰表示的对象。 通过考虑到变换图像颜色的不确定性和运动流的不确定性，本发明可以进一步用于背景建模。 此外，本发明可以用于通过从原始空间传播不确定性并使用可变带宽平均偏移来检测峰值来在不变空间中分割视频数据。 本发明可用于医疗，监视，监控，汽车，增强现实和检查等各种应用。
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9.发明授权System and methods for determining nonuniformity correction parameters in detector-array imaging 有权用于确定检测器阵列成像中不均匀性校正参数的系统和方法公开(公告)号：US07294817B2
公开(公告)日：2007-11-13
申请号：US11122568
申请日：2005-05-05
IPC分类号： H01L27/00
CPC分类号： H04N5/367 , H04N5/33 , H04N5/3656
摘要： An imaging system (110) for imaging a scene with a detector array (104) having an array of imaging elements is provided. The imaging system (110) includes an image estimation module (202) for generating a plurality estimates of uncorrupted images based upon a plurality of noisy images generated by the detector array (104). The imaging system (110) further includes a parameter determination module (204) for determining one or more nonuniformity correction parameters based upon the estimates of uncorrupted images.
摘要翻译： 提供一种用于利用具有成像元件阵列的检测器阵列（104）对场景成像的成像系统（110）。 成像系统（110）包括图像估计模块（202），用于基于由检测器阵列（104）生成的多个噪声图像来生成未损坏图像的多个估计。 成像系统（110）还包括参数确定模块（204），用于基于未破坏的图像的估计来确定一个或多个不均匀性校正参数。
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10.发明申请公开(公告)号：US20060142981A1
公开(公告)日：2006-06-29
申请号：US11360800
申请日：2006-02-23
IPC分类号： G06F17/10
CPC分类号： H04N7/181 , G06T7/277 , G06T7/77 , G06T2207/30196 , G06T2207/30232 , G06T2207/30241 , G08B13/19604 , G08B13/19608 , G08B13/19628 , G08B13/19641 , G08B13/19643 , G08B13/19647 , H04N5/232
摘要： The present invention relates to a method for visually detecting and tracking an object through a space. The method chooses modules for a restricting a search function within the space to regions with a high probability of significant change, the search function operating on images supplied by a camera. The method also derives statistical models for errors, including quantifying an indexing step performed by an indexing module, and tuning system parameters. Further the method applies a likelihood model for candidate hypothesis evaluation and object parameters estimation for locating the object.
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