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1. 发明授权

US6049363A Object detection method and system for scene change analysis in TV and IR data 失效
标题翻译：电视和红外数据场景变化分析的对象检测方法和系统
公开(公告)号：US6049363A
公开(公告)日：2000-04-11
申请号：US795434
申请日：1997-02-05
申请人： Jonathan D. Courtney , Dinesh R. Nair
发明人： Jonathan D. Courtney , Dinesh R. Nair
IPC分类号： G06F17/30 , G06K9/00 , G06K9/32 , G06T7/20 , G11B27/34 , H04N5/14 , H04N7/18 , H04N7/26
CPC分类号： G06K9/00771 , G06F17/3079 , G06F17/30805 , G06F17/30811 , G06F17/30858 , G06K9/3241 , G06T7/2033 , G06T7/2053 , G06T7/208 , H04N19/142 , H04N19/179 , H04N19/87 , H04N5/147 , H04N7/188 , G06K2009/3291 , G11B27/34
摘要： Object detection for scene change analysis is performed by a statistical test applied to data extracted from two images taken from the same scene from identical viewpoints. It is assumed that a single change region corresponding to an object that is present in one image but absence in the other is given. In the case of TV data, the test consists of measuring the coincidence of edge pixels in each image with the boundary of the change region. In the case of IR data, the tests consist of measuring the pixel intensity variance within the change region in each image.
摘要翻译：用于场景变化分析的物体检测通过应用于从相同视点从相同场景拍摄的两幅图像提取的数据的统计测试来执行。假设给出对应于存在于一个图像中但在另一个图像中不存在的对象的单个改变区域。在TV数据的情况下，测试包括测量每个图像中的边缘像素与变化区域的边界的一致性。在IR数据的情况下，测试包括测量每个图像中变化区域内的像素强度方差。

2. 发明授权

US08068660B2 Characterizing vision systems 有权
标题翻译：表征视觉系统
公开(公告)号：US08068660B2
公开(公告)日：2011-11-29
申请号：US12127231
申请日：2008-05-27
申请人： Dinesh R. Nair , Nicolas Vazquez , Robert J. B. Giesen , Joshua B. Keeler , Bruce Smyth
发明人： Dinesh R. Nair , Nicolas Vazquez , Robert J. B. Giesen , Joshua B. Keeler , Bruce Smyth
IPC分类号： G06K9/00
CPC分类号： G01N21/8806
摘要： System and method for characterizing vision systems. A multi-dimensional condition space is provided, each dimension representing a respective condition axis, where each point in the condition space specifies a set of conditions under which a vision system may operate. An image is provided. The condition space is sampled according to a pseudo-random sequence, e.g., a low-discrepancy sequence, to determine a plurality of test conditions usable to characterize the vision system, where each test condition corresponds to a respective set of conditions. A plurality of test images corresponding to the plurality of test conditions are generated based on the image, e.g., by applying image processing functions to the image that simulate the test conditions. A vision inspection is performed on each of the plurality of test images to generate respective test results, and the test results are analyzed to determine conditions under which the vision system operates correctly.
摘要翻译：用于表征视觉系统的系统和方法。提供多维条件空间，每个维度表示相应的条件轴，其中条件空间中的每个点指定视觉系统可以在其下操作的一组条件。提供图像。条件空间根据伪随机序列（例如，低差异序列）被采样，以确定可用于表征视觉系统的多个测试条件，其中每个测试条件对应于相应的一组条件。基于图像生成与多个测试条件相对应的多个测试图像，例如通过将图像处理功能应用于模拟测试条件的图像。对多个测试图像中的每一个执行视觉检查以产生相应的测试结果，并且分析测试结果以确定视觉系统正确地操作的条件。

3. 发明申请

US20090297042A1 Characterizing Vision Systems 有权
标题翻译：表征视觉系统
公开(公告)号：US20090297042A1
公开(公告)日：2009-12-03
申请号：US12127231
申请日：2008-05-27
申请人： Dinesh R. Nair , Nicolas Vazquez , Robert J. Giesen , Joshua B. Keeler , Bruce Smyth
发明人： Dinesh R. Nair , Nicolas Vazquez , Robert J. Giesen , Joshua B. Keeler , Bruce Smyth
IPC分类号： G06K9/64
CPC分类号： G01N21/8806
摘要： System and method for characterizing vision systems. A multi-dimensional condition space is provided, each dimension representing a respective condition axis, where each point in the condition space specifies a set of conditions under which a vision system may operate. An image is provided. The condition space is sampled according to a pseudo-random sequence, e.g., a low-discrepancy sequence, to determine a plurality of test conditions usable to characterize the vision system, where each test condition corresponds to a respective set of conditions. A plurality of test images corresponding to the plurality of test conditions are generated based on the image, e.g., by applying image processing functions to the image that simulate the test conditions. A vision inspection is performed on each of the plurality of test images to generate respective test results, and the test results are analyzed to determine conditions under which the vision system operates correctly.
摘要翻译：用于表征视觉系统的系统和方法。提供多维条件空间，每个维度表示相应的条件轴，其中条件空间中的每个点指定视觉系统可以在其下操作的一组条件。提供图像。条件空间根据伪随机序列（例如，低差异序列）被采样，以确定可用于表征视觉系统的多个测试条件，其中每个测试条件对应于相应的一组条件。基于图像生成与多个测试条件相对应的多个测试图像，例如通过将图像处理功能应用于模拟测试条件的图像。对多个测试图像中的每一个执行视觉检查以产生相应的测试结果，并且分析测试结果以确定视觉系统正确地操作的条件。

4. 发明授权

US08879848B2 Machine vision based automatic maximal clamp measurement tool 有权
标题翻译：基于机器视觉的自动最大钳位测量工具
公开(公告)号：US08879848B2
公开(公告)日：2014-11-04
申请号：US13559767
申请日：2012-07-27
申请人： Venkatesh Bagaria , Nicolas Vazquez , Dinesh R. Nair
发明人： Venkatesh Bagaria , Nicolas Vazquez , Dinesh R. Nair
IPC分类号： G06K9/48 , G06T7/60 , G06T7/00
CPC分类号： G06T7/0006 , G06T7/13 , G06T7/62 , G06T2207/30164
摘要： System and method for measuring distances in an image. An image is received that includes curves corresponding to one or more objects in the image. Multiple curves in a specified region of interest (ROI) in the image are detected, where the ROI has a specified direction. Each curve includes respective curve points. A convex hull is determined based on the respective curve points. One or more candidate antipodal point pairs of the convex hull are determined. A first point pair of the one or more antipodal point pairs is selected based on one or more specified constraints. A clamp angle corresponding to the first point pair is determined. A distance between the first point pair along a direction specified by the clamp angle is determined. The first point pair, the distance, and the clamp angle are stored. Calibration information may be applied at any point during the process.
摘要翻译：用于测量图像中的距离的系统和方法。接收到包含对应于图像中的一个或多个对象的曲线的图像。检测图像中指定的感兴趣区域（ROI）中的多个曲线，其中ROI具有指定的方向。每条曲线包括各自的曲线点。基于相应的曲线点确定凸包。确定凸包的一个或多个候选对数点对。基于一个或多个指定的约束来选择一个或多个对零点对的第一点对。确定与第一点对对应的夹角。确定沿夹具角度指定的方向的第一点对之间的距离。存储第一点对，距离和夹角。校准信息可以在过程中的任何一点应用。

5. 发明申请

US20130031498A1 Machine Vision Based Automatic Maximal Clamp Measurement Tool 有权
标题翻译：基于机器视觉的自动最大钳位测量工具
公开(公告)号：US20130031498A1
公开(公告)日：2013-01-31
申请号：US13559767
申请日：2012-07-27
申请人： Venkatesh Bagaria , Nicolas Vazquez , Dinesh R. Nair
发明人： Venkatesh Bagaria , Nicolas Vazquez , Dinesh R. Nair
IPC分类号： G06K9/46 , G06F3/048
CPC分类号： G06T7/0006 , G06T7/13 , G06T7/62 , G06T2207/30164
摘要： System and method for measuring distances in an image. An image is received that includes curves corresponding to one or more objects in the image. Multiple curves in a specified region of interest (ROI) in the image are detected, where the ROI has a specified direction. Each curve includes respective curve points. A convex hull is determined based on the respective curve points. One or more candidate antipodal point pairs of the convex hull are determined. A first point pair of the one or more antipodal point pairs is selected based on one or more specified constraints. A clamp angle corresponding to the first point pair is determined. A distance between the first point pair along a direction specified by the clamp angle is determined. The first point pair, the distance, and the clamp angle are stored. Calibration information may be applied at any point during the process.
摘要翻译：用于测量图像中的距离的系统和方法。接收到包含对应于图像中的一个或多个对象的曲线的图像。检测图像中指定的感兴趣区域（ROI）中的多个曲线，其中ROI具有指定的方向。每条曲线包括各自的曲线点。基于相应的曲线点确定凸包。确定凸包的一个或多个候选对数点对。基于一个或多个指定的约束来选择一个或多个对零点对的第一点对。确定与第一点对对应的夹角。确定沿夹具角度指定的方向的第一点对之间的距离。存储第一点对，距离和夹角。校准信息可以在过程中的任何一点应用。

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