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。

公开(公告)号：US08437497B2

公开(公告)日：2013-05-07

申请号：US13015285

申请日：2011-01-27

申请人： Guoyi Fu ,  Mikhail Brusnitsyn

发明人： Guoyi Fu ,  Mikhail Brusnitsyn

IPC分类号： G06K9/00

CPC分类号： H04N1/387 ,  G06T3/0068 ,  G06T7/33 ,  G06T2207/10008 ,  G06T2207/10024 ,  G06T2207/20221 ,  G06T2207/30176 ,  H04N1/107 ,  H04N1/3871 ,  H04N1/3876 ,  H04N2201/04787

摘要： Due to an accumulated error from the pair-wise registration, the stitched image may be blurred or have a gap when a loop is encountered. In order to remove the accumulated error, we identify a closed loop where a first image frame overlaps with a second image frame, the second image frame being captured earlier in a scanning sequence than the first image frame; register the first image frame with the second image frame; and apply a global optimization to adjust registration parameters for the plurality of pair-wise registrations of image frames within the closed loop using global constraints.

摘要翻译： 由于来自成对配准的累积误差，缝合图像可能会模糊，或者当遇到环路时具有间隙。 为了消除累积的误差，我们识别第一图像帧与第二图像帧重叠的闭环，第二图像帧以比第一图像帧更早的扫描顺序被捕获; 用第二个图像帧注册第一个图像帧; 并且使用全局约束来应用全局优化来调整闭环中的图像帧的多个成对注册的注册参数。

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。

公开(公告)号：US20120194873A1

公开(公告)日：2012-08-02

申请号：US13015278

申请日：2011-01-27

申请人： Guoyi Fu ,  Mikhail Brusnitsyn

发明人： Guoyi Fu ,  Mikhail Brusnitsyn

IPC分类号： H04N1/40

CPC分类号： H04N1/3876 ,  H04N1/047 ,  H04N1/107 ,  H04N1/19594 ,  H04N2201/0414 ,  H04N2201/0471 ,  H04N2201/04734 ,  H04N2201/04737 ,  H04N2201/04743

摘要： An off page condition or invalid sensors position data is detected by checking the errors from an initial transformation parameter estimation. If an abnormally large error is encountered, a sensor's reading (position data) may be invalid or the sensor was off page. Then the invalid sensor data will be identified and removed. Finally the transformation parameters will be re-estimated using valid sensor position data only. A weighted least-square minimization is used by considering the sensor lift situation. If a sensor is lifted, the weight for the error related to the sensor will be set to a small weight or zero. Also considered are the geometric properties of sensor locations in weighting the sensor error. A confidence measurement of the sensor data and associated error is performed. The confidence measurement is derived from an error ellipse at 95% confidence level.

摘要翻译： 通过从初始变换参数估计检查误差来检测离页条件或无效传感器位置数据。 如果遇到异常大的错误，传感器的读数（位置数据）可能无效或传感器不在页面上。 然后将识别和移除无效的传感器数据。 最后，转换参数将仅使用有效的传感器位置数据重新估计。 通过考虑传感器升力情况，使用加权最小二乘法最小化。 如果传感器被提起，与传感器相关的误差的重量将被设置为小的重量或零。 还考虑了加权传感器误差时传感器位置的几何特性。 执行传感器数据和相关错误的置信度测量。 可信度测量来自95％置信水平的误差椭圆。

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。

公开(公告)号：US08279500B2

公开(公告)日：2012-10-02

申请号：US13015355

申请日：2011-01-27

申请人： Guoyi Fu ,  Mikhail Brusnitsyn

发明人： Guoyi Fu ,  Mikhail Brusnitsyn

IPC分类号： H04N1/04

CPC分类号： H04N1/047 ,  H04N1/107 ,  H04N1/387 ,  H04N2201/0414 ,  H04N2201/0471 ,  H04N2201/04732 ,  H04N2201/04787

摘要： Two images are stitched together through minimization of a cost function that consists of registration errors from image data of the two images, as well as the estimated errors from a set of sensors. The weight function in the cost function is derived from the confidence value of sensor estimation that considers the sensor errors including lift and off page as well as a measure of accuracy of the sensor readings. Weights are used to adjust image registration accuracy against sensor accuracy to produce a set of registration parameters that would best stitch the two images together. In order to handle large errors for initial registration parameters and to avoid local minima in the minimization process, the image pair may be registered in a lower resolution and then refined in a higher resolution.

摘要翻译： 通过最小化两个图像的图像数据的注册错误的成本函数以及来自一组传感器的估计误差来将两个图像缝合在一起。 成本函数中的权重函数是从传感器估计的置信度值得出的，该估计考虑了包括提升和离页的传感器错误以及传感器读数精度的度量。 重量用于根据传感器精度调整图像配准精度，以产生一组最佳地将两张图像拼接在一起的配准参数。 为了处理初始注册参数的大错误并避免最小化过程中的局部最小值，图像对可以以较低分辨率登记，然后以更高分辨率进行精化。

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。

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。

公开(公告)号：US20080107186A1

公开(公告)日：2008-05-08

申请号：US11556092

申请日：2006-11-02

申请人： Mikhail Brusnitsyn ,  Ian Clarke ,  Hui Zhou

发明人： Mikhail Brusnitsyn ,  Ian Clarke ,  Hui Zhou

IPC分类号： H04N7/24

CPC分类号： H04N19/86 ,  H04N19/117 ,  H04N19/139 ,  H04N19/154 ,  H04N19/176 ,  H04N19/527

摘要： A method of estimating and compensating for jitter between two video frames in a digital video sequence comprises comparing a pixel subset in one video frame to candidate matching pixel subsets within a search area in the other video frame to obtain a preliminary matching pixel subset. Based on the location of the preliminary matching pixel subset, an adapted search area is formed and the comparing is continued within the adapted search area to obtain a final matching pixel subset. Motion is calculated between the video frames based on the final match thereby to estimate the jitter. The video frames are then transformed based on the estimated jitter.

摘要翻译： 一种估计和补偿数字视频序列中两个视频帧之间的抖动的方法包括将一个视频帧中的像素子集与另一视频帧中的搜索区域内的候选匹配像素子集进行比较，以获得初步匹配像素子集。 基于初步匹配像素子集的位置，形成适应搜索区域，并且在适应搜索区域内继续进行比较以获得最终匹配像素子集。 基于最终匹配在视频帧之间计算运动，从而估计抖动。 然后基于估计的抖动来变换视频帧。

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。