公开(公告)号：US20090003722A1

公开(公告)日：2009-01-01

申请号：US12167644

申请日：2008-07-03

Applicant: Sateesha Nadabar ,  Xiangyun Ye

Inventor： Sateesha Nadabar ,  Xiangyun Ye

IPC: G06K9/44

CPC classification number: G06K9/44 ,  G06K19/06037

Abstract: A method is presented for processing an image of a two-dimensional (2D) matrix symbol having a plurality of data modules and a discontinuous finder pattern, each distorted by “donut effects”. A resulting processed image contains an image of the 2D matrix symbol having a continuous finder pattern suitable for conventional 2D matrix symbol locating techniques, and having a plurality of data modules, each data module having a center more truly representative of intended data, and suitable for conventional 2D matrix symbol sampling and decoding. The method includes sharpening the distorted image of the 2D matrix symbol to increase a difference between low frequency and high frequency image feature magnitudes, thereby providing a sharpened image, and smoothing the sharpened image using a moving window over the sharpened image so as to provide a smoothed image, the moving window and a module of the 2D matrix code being of substantially similar size.

Abstract translation: 提出了一种用于处理具有多个数据模块和不连续取景器图案的二维（2D）矩阵符号的图像的方法，每个数据模块和不连续取景器图案都被“环形效应”扭曲。 所得到的经处理的图像包含具有适用于常规2D矩阵符号定位技术的连续取景器图案的2D矩阵符号的图像，并且具有多个数据模块，每个数据模块具有更真实地代表预期数据的中心，并且适于 常规2D矩阵符号采样和解码。 该方法包括锐化2D矩阵符号的失真图像以增加低频和高频图像特征量之间的差异，从而提供锐化的图像，并且使用在锐化图像上的移动窗口来平滑锐化的图像，从而提供 平滑的图像，移动窗口和2D矩阵代码的模块具有基本相似的大小。

公开(公告)号：US07412106B1

公开(公告)日：2008-08-12

申请号：US11165922

申请日：2005-06-25

Applicant: Sateesha Nadabar ,  Xiangyun Ye

Inventor： Sateesha Nadabar ,  Xiangyun Ye

IPC: G06K9/40

CPC classification number: G06K9/44 ,  G06K19/06037

Abstract: A method is presented for processing an image of a two-dimensional (2D) matrix symbol having a plurality of data modules and a discontinuous finder pattern, each distorted by “donut effects”. A resulting processed image contains an image of the 2D matrix symbol having a continuous finder pattern suitable for conventional 2D matrix symbol locating techniques, and having a plurality of data modules, each data module having a center more truly representative of intended data, and suitable for conventional 2D matrix symbol sampling and decoding. The method includes sharpening the distorted image of the 2D matrix symbol to increase a difference between low frequency and high frequency image feature magnitudes, thereby providing a sharpened image, and smoothing the sharpened image using a moving window over the sharpened image so as to provide a smoothed image, the moving window and a module of the 2D matrix code being of substantially similar size.

Abstract translation: 提出了一种用于处理具有多个数据模块和不连续取景器图案的二维（2D）矩阵符号的图像的方法，每个数据模块和不连续取景器图案都被“环形效应”扭曲。 所得到的经处理的图像包含具有适用于常规2D矩阵符号定位技术的连续取景器图案的2D矩阵符号的图像，并且具有多个数据模块，每个数据模块具有更真实地代表预期数据的中心，并且适于 常规2D矩阵符号采样和解码。 该方法包括锐化2D矩阵符号的失真图像以增加低频和高频图像特征量之间的差异，从而提供锐化的图像，并且使用在锐化图像上的移动窗口来平滑锐化的图像，从而提供 平滑的图像，移动窗口和2D矩阵代码的模块具有基本相似的大小。

公开(公告)号：US20130112752A1

公开(公告)日：2013-05-09

申请号：US13288098

申请日：2011-11-03

Applicant: James Negro ,  Xiangyun Ye

Inventor： James Negro ,  Xiangyun Ye

IPC: G06K7/14

CPC classification number: G06K7/1447 ,  G06K7/10722 ,  G06K7/10881 ,  G06K7/1404 ,  G06K7/1417 ,  G06K9/18 ,  G06K19/06037

Abstract: A method and apparatus for decoding codes applied to objects for use with an image sensor that includes a two dimensional field of view (FOV), the method comprising the steps of providing a processor programmed to perform the steps of obtaining an image of the FOV and applying different decode algorithms to code candidates in the obtained image to attempt to decode the code candidates wherein the decode algorithm applied to each candidate is a function of the location of the code candidate in the FOV.

Abstract translation: 一种用于对应用于包括二维视场（FOV）的图像传感器使用的对象的代码进行解码的方法和装置，所述方法包括以下步骤：提供被编程为执行以下步骤的处理器：获得所述FOV的图像;以及 应用不同的解码算法对所获得的图像中的候选进行编码，以尝试对代码候选进行解码，其中应用于每个候选的解码算法是FOV中代码候选的位置的函数。

公开(公告)号：US20110280472A1

公开(公告)日：2011-11-17

申请号：US12780119

申请日：2010-05-14

Applicant: Aaron S. Wallack ,  Lifeng Liu ,  Xiangyun Ye

Inventor： Aaron S. Wallack ,  Lifeng Liu ,  Xiangyun Ye

IPC: G06T7/00

CPC classification number: B25J9/1692 ,  B25J9/1607 ,  B25J9/1697 ,  G05B2219/39008 ,  G05B2219/39022 ,  G05B2219/39045 ,  G05B2219/39057 ,  G06T7/80 ,  Y10S901/09

Abstract: 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.

Abstract translation: 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。

公开(公告)号：US20110157373A1

公开(公告)日：2011-06-30

申请号：US12647192

申请日：2009-12-24

Applicant: Xiangyun Ye ,  David Y. Li ,  Guruprasad Shivaram ,  David J. Michael

Inventor： Xiangyun Ye ,  David Y. Li ,  Guruprasad Shivaram ,  David J. Michael

IPC: H04N17/00

CPC classification number: G06T7/85 ,  G06T2207/10012 ,  G06T2207/30108

Abstract: This invention provides a system and method for runtime determination (self-diagnosis) of camera miscalibration (accuracy), typically related to camera extrinsics, based on historical statistics of runtime alignment scores for objects acquired in the scene, which are defined based on matching of observed and expected image data of trained object models. This arrangement avoids a need to cease runtime operation of the vision system and/or stop the production line that is served by the vision system to diagnose if the system's camera(s) remain calibrated. Under the assumption that objects or features inspected by the vision system over time are substantially the same, the vision system accumulates statistics of part alignment results and stores intermediate results to be used as indicator of current system accuracy. For multi-camera vision systems, cross validation is illustratively employed to identify individual problematic cameras. The system and method allows for faster, less-expensive and more-straightforward diagnosis of vision system failures related to deteriorating camera calibration.

Abstract translation: 本发明提供了一种用于基于场景中获取的对象的运行时对准分数的历史统计信息的通常与摄像机外部特征相关的摄像机误差（精确度）的运行时确定（自诊断）的系统和方法，其基于 训练对象模型的观察和预期图像数据。 这种安排避免了停止视觉系统的运行时操作和/或停止由视觉系统服务的生产线来诊断系统的相机是否保持校准的需要。 在视觉系统随时间检查的对象或特征基本相同的假设下，视觉系统累积部分对齐结果的统计信息，并存储要用作当前系统精度指标的中间结果。 对于多摄像机视觉系统，交叉验证被说明性地用于识别个别有问题的摄像机。 该系统和方法允许对与相机校准恶化相关的视觉系统故障的更快，更便宜和更直接的诊断。

公开(公告)号：US11699247B2

公开(公告)日：2023-07-11

申请号：US12647192

申请日：2009-12-24

Applicant: Xiangyun Ye ,  David Y. Li ,  Guruprasad Shivaram ,  David J. Michael

Inventor： Xiangyun Ye ,  David Y. Li ,  Guruprasad Shivaram ,  David J. Michael

IPC: G06T7/80

CPC classification number: G06T7/85 ,  G06T2207/10012 ,  G06T2207/30108

Abstract: This invention provides a system and method for runtime determination (self-diagnosis) of camera miscalibration (accuracy), typically related to camera extrinsics, based on historical statistics of runtime alignment scores for objects acquired in the scene, which are defined based on matching of observed and expected image data of trained object models. This arrangement avoids a need to cease runtime operation of the vision system and/or stop the production line that is served by the vision system to diagnose if the system's camera(s) remain calibrated. Under the assumption that objects or features inspected by the vision system over time are substantially the same, the vision system accumulates statistics of part alignment results and stores intermediate results to be used as indicator of current system accuracy. For multi-camera vision systems, cross validation is illustratively employed to identify individual problematic cameras. The system and method allows for faster, less-expensive and more-straightforward diagnosis of vision system failures related to deteriorating camera calibration.

公开(公告)号：US09600703B2

公开(公告)日：2017-03-21

申请号：US14821920

申请日：2015-08-10

Applicant: Xianju Wang ,  Xiangyun Ye ,  James A. Negro ,  David Vekony ,  Robb Robles ,  Jozsef Borovszki ,  Steven G. Webster

Inventor： Xianju Wang ,  Xiangyun Ye ,  James A. Negro ,  David Vekony ,  Robb Robles ,  Jozsef Borovszki ,  Steven G. Webster

IPC: G06K7/10 ,  G06K7/14 ,  H01L21/00

CPC classification number: G06K7/1491 ,  G06K7/1417 ,  H01L21/00

Abstract: Systems and methods are described for acquiring and decoding a plurality of images. First images are acquired and then processed to attempt to decode a symbol. Contributions of the first images to the decoding attempt are identified. An updated acquisition-settings order is determined based at least partly upon the contributions of the first images to the decoding attempt. Second images are acquired or processed based at least partly upon the updated acquisition-settings order.

公开(公告)号：US09104932B2

公开(公告)日：2015-08-11

申请号：US13843057

申请日：2013-03-15

Applicant: Xianju Wang ,  Xiangyun Ye

Inventor： Xianju Wang ,  Xiangyun Ye

IPC: G06K9/48 ,  G06K7/14

CPC classification number: G06K7/1417 ,  G06K7/1491

Abstract: Systems and methods read machine readable symbols, the systems and methods capture multiple images of the symbol and can locate symbol data region(s) from an image even when the symbol data is corrupted and not decodable. Binary matrices are generated of the symbol data regions obtained from the multiple images and can be accumulated to generate a decodable image. A correspondence can be established among multiple images acquired on the same symbol when the symbol has moved from one image to the next.

Abstract translation: 系统和方法读取机器可读符号，系统和方法捕获符号的多个图像，并且可以从图像中定位符号数据区域，即使符号数据已损坏且不可解码。 生成从多个图像获得的符号数据区域的二进制矩阵，并且可以被累积以产生可解码的图像。 当符号已经从一个图像移动到下一个图像时，可以在相同符号上获取的多个图像之间建立对应关系。

公开(公告)号：US08322620B2

公开(公告)日：2012-12-04

申请号：US12985831

申请日：2011-01-06

Applicant: Xiangyun Ye ,  Sateesha Nadabar

Inventor： Xiangyun Ye ,  Sateesha Nadabar

IPC: G06K7/10

CPC classification number: G06T3/00 ,  G06K7/14

Abstract: A method is provided for reading distorted optical symbols using known locating and decoding methods, without requiring a separate and elaborate camera calibration procedure, without excessive computational complexity, and without compromised burst noise handling. The invention exploits a distortion-tolerant method for locating and decoding 2D code symbols to provide a correspondence between a set of points in an acquired image and a set of points in the symbol. A coordinate transformation is then constructed using the correspondence, and run-time images are corrected using the coordinate transformation. Each corrected run-time image provides a distortion-free representation of a symbol that can be read by traditional code readers that normally cannot read distorted symbols. The method can handle both optical distortion and printing distortion. The method is applicable to “portable” readers when an incident angle with the surface is maintained, the reader being disposed at any distance from the surface.

Abstract translation: 提供了一种使用已知的定位和解码方法来读取失真的光学符号的方法，而不需要单独的精心设计的相机校准过程，而没有过多的计算复杂度，并且没有受到破坏的突发噪声处理。 本发明利用了一种用于定位和解码2D码符号以提供所获取的图像中的一组点与符号中的一组点之间的对应关系的容错方法。 然后使用对应关系构建坐标变换，并使用坐标变换校正运行时图像。 每个校正的运行时间图像提供了可以由通常不能读取失真的符号的传统代码读取器读取的符号的无失真表示。 该方法可以处理光学失真和打印失真。 当与表面的入射角保持时，该方法适用于便携式读取器，读取器设置在离表面的任何距离处。

公开(公告)号：US07965899B2

公开(公告)日：2011-06-21

申请号：US12167644

申请日：2008-07-03

Applicant: Sateesha Nadabar ,  Xiangyun Ye

Inventor： Sateesha Nadabar ,  Xiangyun Ye

IPC: G06K9/40

CPC classification number: G06K9/44 ,  G06K19/06037

Abstract: A method is presented for processing an image of a two-dimensional (2D) matrix symbol having a plurality of data modules and a discontinuous finder pattern, each distorted by “donut effects”. A resulting processed image contains an image of the 2D matrix symbol having a continuous finder pattern suitable for conventional 2D matrix symbol locating techniques, and having a plurality of data modules, each data module having a center more truly representative of intended data, and suitable for conventional 2D matrix symbol sampling and decoding. The method includes sharpening the distorted image of the 2D matrix symbol to increase a difference between low frequency and high frequency image feature magnitudes, thereby providing a sharpened image, and smoothing the sharpened image using a moving window over the sharpened image so as to provide a smoothed image, the moving window and a module of the 2D matrix code being of substantially similar size.

Abstract translation: 提出了一种用于处理具有多个数据模块和不连续取景器图案的二维（2D）矩阵符号的图像的方法，每个数据模块和不连续取景器图案都被“环形效应”扭曲。 所得到的经处理的图像包含具有适用于常规2D矩阵符号定位技术的连续取景器图案的2D矩阵符号的图像，并且具有多个数据模块，每个数据模块具有更真实地代表预期数据的中心，并且适于 常规2D矩阵符号采样和解码。 该方法包括锐化2D矩阵符号的失真图像以增加低频和高频图像特征量之间的差异，从而提供锐化的图像，并且使用在锐化图像上的移动窗口来平滑锐化图像，从而提供 平滑的图像，移动窗口和2D矩阵代码的模块具有基本相似的大小。