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1. 发明申请

US20110215151A1 Method and Apparatus for Correcting Decoding Errors in Machine-Readable Symbols 有权
标题翻译：用于校正机器可读符号中的解码错误的方法和装置
公开(公告)号：US20110215151A1
公开(公告)日：2011-09-08
申请号：US12719379
申请日：2010-03-08
申请人： Jia Li , Mikhail Brusnitsyn , Eunice Poon , Seungsik Kwak
发明人： Jia Li , Mikhail Brusnitsyn , Eunice Poon , Seungsik Kwak
IPC分类号： G06K7/10
CPC分类号： G06K7/10
摘要： The present invention is a system and method for decoding an image of a bar code. Decoding the barcode includes tokenizing a plurality of pixels in the image of the barcode based upon a plurality of thresholds to form a first set of tokens. Decoding the barcode also includes re-tokenizing the plurality of pixels in the image of the barcode based upon the intensity of the pixels in the plurality of tokens, and the relativity intensity of neighboring tokens, to form a second set of tokens.
摘要翻译：本发明是用于对条形码图像进行解码的系统和方法。对条形码进行解码包括基于多个阈值对条形码图像中的多个像素进行标记，以形成第一组令牌。条形码的解码还包括基于多个令牌中的像素的强度和相邻令牌的相对强度重新标记条形码图像中的多个像素，以形成第二组令牌。

2. 发明授权

US08162223B2 Method and apparatus for creating pixel tokens from machine-readable symbols to improve decoding accuracy in low resolution images 有权
标题翻译：用于从机器可读符号创建像素令牌以提高低分辨率图像中的解码精度的方法和装置
公开(公告)号：US08162223B2
公开(公告)日：2012-04-24
申请号：US12719370
申请日：2010-03-08
申请人： Eunice Poon , Jia Li , Seungsik Kwak , Mikhail Brusnitsyn
发明人： Eunice Poon , Jia Li , Seungsik Kwak , Mikhail Brusnitsyn
IPC分类号： G06K7/10 , G06K19/06
CPC分类号： G06K7/10
摘要： The present invention is directed towards systems and methods for decoding a bar code. Decoding the bar code includes segmenting the bar code into black tokens, white tokens and gray boundary pixels. Decoding the bar code also includes calculating a boundary position of each token with sub-pixel positional accuracy using intensity values of pixels in a boundary region.
摘要翻译：本发明涉及用于解码条形码的系统和方法。对条形码进行解码包括将条形码分成黑色令牌，白色标记和灰色边界像素。对条形码进行解码还包括使用边界区域中的像素的强度值来计算具有子像素位置精度的每个令牌的边界位置。

3. 发明授权

US08267322B2 Method and apparatus for correcting decoding errors in machine-readable symbols 有权
标题翻译：用于校正机器可读符号中的解码错误的方法和装置
公开(公告)号：US08267322B2
公开(公告)日：2012-09-18
申请号：US12719379
申请日：2010-03-08
申请人： Jia Li , Mikhail Brusnitsyn , Eunice Poon , Seungsik Kwak , Guoyi Fu
发明人： Jia Li , Mikhail Brusnitsyn , Eunice Poon , Seungsik Kwak , Guoyi Fu
IPC分类号： G06K7/10
CPC分类号： G06K7/10
摘要： The present invention is a system and method for decoding an image of a bar code. Decoding the barcode includes tokenizing a plurality of pixels in the image of the barcode based upon a plurality of thresholds to form a first set of tokens. Decoding the barcode also includes re-tokenizing the plurality of pixels in the image of the barcode based upon the intensity of the pixels in the plurality of tokens, and the relativity intensity of neighboring tokens, to form a second set of tokens.
摘要翻译：本发明是用于对条形码图像进行解码的系统和方法。对条形码进行解码包括基于多个阈值对条形码图像中的多个像素进行标记，以形成第一组令牌。条形码的解码还包括基于多个令牌中的像素的强度和相邻令牌的相对强度重新标记条形码图像中的多个像素，以形成第二组令牌。

4. 发明申请

US20110215152A1 Method and Apparatus for Creating Pixel Tokens from Machine-Readable Symbols to Improve Decoding Accuracy in Low Resolution Images 有权
标题翻译：从机器可读符号创建像素令牌的方法和设备，以提高低分辨率图像中的解码精度
公开(公告)号：US20110215152A1
公开(公告)日：2011-09-08
申请号：US12719370
申请日：2010-03-08
申请人： Eunice Poon , Jia Li , Seungsik Kwak , Mikhail Brusnitsyn
发明人： Eunice Poon , Jia Li , Seungsik Kwak , Mikhail Brusnitsyn
IPC分类号： G06K7/10
CPC分类号： G06K7/10
摘要： The present invention is directed towards systems and methods for decoding a bar code. Decoding the bar code includes segmenting the bar code into black tokens, white tokens and gray boundary pixels. Decoding the bar code also includes calculating a boundary position of each token with sub-pixel positional accuracy using intensity values of pixels in a boundary region.
摘要翻译：本发明涉及用于解码条形码的系统和方法。对条形码进行解码包括将条形码分成黑色令牌，白色标记和灰色边界像素。对条形码进行解码还包括使用边界区域中的像素的强度值来计算具有子像素位置精度的每个令牌的边界位置。

5. 发明授权

US09031317B2 Method and apparatus for improved training of object detecting system 有权
标题翻译：改进对象检测系统训练的方法和装置
公开(公告)号：US09031317B2
公开(公告)日：2015-05-12
申请号：US13621974
申请日：2012-09-18
申请人： Yury Yakubovich , Ivo Moravec , Yang Yang , Ian Clarke , Lihui Chen , Eunice Poon , Mikhail Brusnitsyn , Arash Abadpour , Dan Rico , Guoyi Fu
发明人： Yury Yakubovich , Ivo Moravec , Yang Yang , Ian Clarke , Lihui Chen , Eunice Poon , Mikhail Brusnitsyn , Arash Abadpour , Dan Rico , Guoyi Fu
IPC分类号： G06K9/62
CPC分类号： G06K9/6219 , G06K9/6227 , G06K9/6254 , G06K9/6256
摘要： An adequate solution for computer vision applications is arrived at more efficiently and, with more automation, enables users with limited or no special image processing and pattern recognition knowledge to create reliable vision systems for their applications. Computer rendering of CAD models is used to automate the dataset acquisition process and labeling process. In order to speed up the training data preparation while maintaining the data quality, a number of processed samples are generated from one or a few seed images.
摘要翻译：更有效率地获得了一个适用于计算机视觉应用的充分解决方案，并且通过更多的自动化，使得有限或无特殊图像处理和模式识别知识的用户可以为其应用创建可靠的视觉系统。 CAD模型的计算机绘制用于自动化数据集获取过程和标签过程。为了在保持数据质量的同时加快训练数据准备，从一个或几个种子图像生成多个处理的样本。

6. 发明授权

US08526500B2 System and method for global inter-frame motion detection in video sequences 有权
标题翻译：视频序列中全局帧间运动检测的系统和方法
公开(公告)号：US08526500B2
公开(公告)日：2013-09-03
申请号：US12538940
申请日：2009-08-11
申请人： Eunice Poon , Mikhail Brusnitsyn
发明人： Eunice Poon , Mikhail Brusnitsyn
IPC分类号： H04N7/12 , H04N7/50
CPC分类号： H04N7/50 , H04N5/144 , H04N9/43 , H04N9/68 , H04N19/61
摘要： Methods and systems for detecting and compensating for motion depicted in a sequence of frames are disclosed. One example method includes converting video frames to monochrome. Conversion of an image to monochrome includes sampling luminance data of a portion of pixels in the image to identify the image as being of a particular image type, selecting a bit plane of the image based on the identified image type, and converting the image to a monochrome image using the selected bit plane. After conversion of video frames to monochrome, a pixel subset in a monochrome image corresponding to a first frame is compared to candidate matching pixel subsets within a search area of a monochrome image corresponding to a second, consecutive frame. The frames are processed to compensate for perceived motion blur based on the detected inter-frame motion.
摘要翻译：公开了用于检测和补偿在帧序列中描绘的运动的方法和系统。一种示例性方法包括将视频帧转换为单色。将图像转换为单色包括对图像中的一部分像素采样亮度数据，以将图像识别为特定图像类型，基于识别的图像类型选择图像的位平面，并将图像转换为使用所选位平面的单色图像。在将视频帧转换为单色之后，将对应于第一帧的单色图像中的像素子集与候选匹配像素子集进行比较，所述候选匹配像素子集在对应于第二连续帧的单色图像的搜索区域内。处理帧以基于检测到的帧间运动来补偿感知的运动模糊。

7. 发明申请

US20110037895A1 System And Method For Global Inter-Frame Motion Detection In Video Sequences 有权
标题翻译：视频序列中全局帧间运动检测的系统和方法
公开(公告)号：US20110037895A1
公开(公告)日：2011-02-17
申请号：US12538940
申请日：2009-08-11
申请人： Eunice Poon , Mikhail Brusnitsyn
发明人： Eunice Poon , Mikhail Brusnitsyn
IPC分类号： H04N7/01
CPC分类号： H04N7/50 , H04N5/144 , H04N9/43 , H04N9/68 , H04N19/61
摘要： Methods and systems for detecting and compensating for motion depicted in a sequence of frames are disclosed. One example method includes converting video frames to monochrome. Conversion of an image to monochrome includes sampling luminance data of a portion of pixels in the image to identify the image as being of a particular image type, selecting a bit plane of the image based on the identified image type, and converting the image to a monochrome image using the selected bit plane. After conversion of video frames to monochrome, a pixel subset in a monochrome image corresponding to a first frame is compared to candidate matching pixel subsets within a search area of a monochrome image corresponding to a second, consecutive frame. The frames are processed to compensate for perceived motion blur based on the detected inter-frame motion.
摘要翻译：公开了用于检测和补偿在帧序列中描绘的运动的方法和系统。一种示例性方法包括将视频帧转换为单色。将图像转换为单色包括对图像中的一部分像素采样亮度数据，以将图像识别为特定图像类型，基于识别的图像类型选择图像的位平面，并将图像转换为使用所选位平面的单色图像。在将视频帧转换为单色之后，将对应于第一帧的单色图像中的像素子集与候选匹配像素子集进行比较，所述候选匹配像素子集在对应于第二连续帧的单色图像的搜索区域内。处理帧以基于检测到的帧间运动来补偿感知的运动模糊。

8. 发明申请

US20140079314A1 Method and Apparatus for Improved Training of Object Detecting System 有权
标题翻译：改进对象检测系统训练的方法与装置
公开(公告)号：US20140079314A1
公开(公告)日：2014-03-20
申请号：US13621974
申请日：2012-09-18
申请人： Yury Yakubovich , Ivo Moravec , Yang Yang , Ian Clarke , Lihui Chen , Eunice Poon , Mikhail Brusnitsyn , Arash Abadpour , Dan Rico , Guoyi Fu
发明人： Yury Yakubovich , Ivo Moravec , Yang Yang , Ian Clarke , Lihui Chen , Eunice Poon , Mikhail Brusnitsyn , Arash Abadpour , Dan Rico , Guoyi Fu
IPC分类号： G06K9/62
CPC分类号： G06K9/6219 , G06K9/6227 , G06K9/6254 , G06K9/6256
摘要： An adequate solution for computer vision applications is arrived at more efficiently and, with more automation, enables users with limited or no special image processing and pattern recognition knowledge to create reliable vision systems for their applications. Computer rendering of CAD models is used to automate the dataset acquisition process and labeling process. In order to speed up the training data preparation while maintaining the data quality, a number of processed samples are generated from one or a few seed images.
摘要翻译：更有效率地获得了一个适用于计算机视觉应用的充分解决方案，并且通过更多的自动化，使得有限或无特殊图像处理和模式识别知识的用户可以为其应用创建可靠的视觉系统。 CAD模型的计算机绘制用于自动化数据集获取过程和标签过程。为了在保持数据质量的同时加快训练数据准备，从一个或几个种子图像生成多个处理的样本。

9. 发明授权

US08457403B2 Method of detecting and correcting digital images of books in the book spine area 有权
标题翻译：检索和纠正书脊图书籍数字图像的方法
公开(公告)号：US08457403B2
公开(公告)日：2013-06-04
申请号：US13111199
申请日：2011-05-19
申请人： Jia Li , Mikhail Brusnitsyn , Sujay Sukumaran
发明人： Jia Li , Mikhail Brusnitsyn , Sujay Sukumaran
IPC分类号： G06K9/34
CPC分类号： H04N1/3873 , G06K2009/363 , H04N1/387
摘要： An image of a scanned book is segmented using a feature image to map pixels corresponding to a page area and to create page objects and detect borders of the page. A book spine region is detected by locating a plain background area between two of the page objects, analyzing the page borders to detect their shape, and analyzing their shape to detect the book spine end points. Using the page borders, the feature image is examined to detect top-to-bottom and bottom-to-top declines in pixel values to determine the corners of a shadow distortion in the original scanned image. Squeeze and curvature distortion are also detected. A Bezier curve is used to model each of the three distortions detected on the page. The detected distortion is corrected by first defining a trapezoidal correction area. The intensity, squeeze, and curvature corrections are then applied along lines within the trapezoidal correction area.
摘要翻译：使用特征图像对扫描书的图像进行分割，以对应于页面区域的像素映射并创建页面对象并检测页面的边界。通过在两个页面对象之间定位一个简单的背景区域，分析页面边框以检测其形状并分析其形状以检测书脊柱端点来检测书脊区域。使用页面边框，检查特征图像以检测像素值中的从上到下和从底部到顶部的下降，以确定原始扫描图像中阴影失真的角。也检测到挤压和曲率失真。贝塞尔曲线用于对页面上检测到的三个失真进行建模。通过首先定义梯形校正区域来校正检测到的失真。然后沿着梯形校正区域内的线施加强度，挤压和曲率校正。

10. 发明申请

US20120294528A1 Method of Detecting and Correcting Digital Images of Books in the Book Spine Area 有权
标题翻译：检索和纠正书脊脊书籍数字图像的方法
公开(公告)号：US20120294528A1
公开(公告)日：2012-11-22
申请号：US13111199
申请日：2011-05-19
申请人： Jia Li , Mikhail Brusnitsyn , Sujay Sukumaran
发明人： Jia Li , Mikhail Brusnitsyn , Sujay Sukumaran
IPC分类号： G06K9/34
CPC分类号： H04N1/3873 , G06K2009/363 , H04N1/387
摘要： An image of a scanned book is segmented using a feature image to map pixels corresponding to a page area and to create page objects and detect borders of the page. A book spine region is detected by locating a plain background area between two of the page objects, analyzing the page borders to detect their shape, and analyzing their shape to detect the book spine end points. Using the page borders, the feature image is examined to detect top-to-bottom and bottom-to-top declines in pixel values to determine the corners of a shadow distortion in the original scanned image. Squeeze and curvature distortion are also detected. A Bezier curve is used to model each of the three distortions detected on the page. The detected distortion is corrected by first defining a trapezoidal correction area. The intensity, squeeze, and curvature corrections are then applied along lines within the trapezoidal correction area.
摘要翻译：使用特征图像对扫描书的图像进行分割，以对应于页面区域的像素映射并创建页面对象并检测页面的边界。通过在两个页面对象之间定位一个简单的背景区域，分析页面边框以检测其形状并分析其形状以检测书脊柱端点来检测书脊区域。使用页面边框，检查特征图像以检测像素值中的从上到下和从底部到顶部的下降，以确定原始扫描图像中阴影失真的角。也检测到挤压和曲率失真。贝塞尔曲线用于对页面上检测到的三个失真进行建模。通过首先定义梯形校正区域来校正检测到的失真。然后沿着梯形校正区域内的线施加强度，挤压和曲率校正。

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