专利快速检索-快速检索全球专利，免费商用专利数据库-IPRDB

11. 发明授权

US08437497B2 System and method for real-time image retensioning and loop error correction 有权
标题翻译：用于实时图像延迟和循环纠错的系统和方法
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。

12. 发明申请

US20120194873A1 IMAGE REGISTRATION PARAMETERS AND CONFIDENCE ESTIMATION FROM SENSOR DATA 有权
标题翻译：图像注册参数和传感器数据的信心估计
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。

13. 发明授权

US08279500B2 System and method for integrated pair-wise registration of images using image based information and sensor coordinate and error information 有权
标题翻译：使用基于图像的信息和传感器坐标和误差信息对图像进行集成成对注册的系统和方法
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。

14. 发明申请

US20080107186A1 Method And Apparatus For Estimating And Compensating For Jitter In Digital Video 有权
标题翻译：用于在数字视频中进行抖动的估计和补偿的方法和装置
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。

15. 发明申请

US20120194879A1 System And Method For Integrated Pair-Wise Registration Of Images Using Image Based Information And Sensor Coordinate And Error Information 有权
标题翻译：使用基于图像的信息和传感器坐标和误差信息的图像集成对智能注册的系统和方法
公开(公告)号：US20120194879A1
公开(公告)日：2012-08-02
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拼接在一起。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。

16. 发明授权

US08130845B2 Method and apparatus for estimating and compensating for jitter in digital video 有权
标题翻译：用于估计和补偿数字视频抖动的方法和装置
公开(公告)号：US08130845B2
公开(公告)日：2012-03-06
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： H04N7/26
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。

17. 发明授权

US08253985B2 Image registration parameters and confidence estimation from sensor data 有权
标题翻译：图像配准参数和传感器数据的置信估计
公开(公告)号：US08253985B2
公开(公告)日：2012-08-28
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。

18. 发明申请

US20120195523A1 System And Method For Real-Time Image Retensioning And Loop Error Correction 有权
标题翻译：用于实时图像重新定位和循环纠错的系统和方法
公开(公告)号：US20120195523A1
公开(公告)日：2012-08-02
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： G06K9/32
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。

19. 发明申请

US20090080876A1 Method For Distance Estimation Using AutoFocus Image Sensors And An Image Capture Device Employing The Same 审中-公开
标题翻译：使用自动聚焦图像传感器进行距离估计的方法和使用该图像捕获设备的图像捕获设备
公开(公告)号：US20090080876A1
公开(公告)日：2009-03-26
申请号：US11861026
申请日：2007-09-25
申请人： Mikhail Brusnitsyn , Angus Harry Mansell McQuarrie
发明人： Mikhail Brusnitsyn , Angus Harry Mansell McQuarrie
IPC分类号： G03B13/20
CPC分类号： G03B13/36 , G02B7/365
摘要： A method of estimating the distance to a subject using image signals generated by autofocus image sensors of an image capture device comprises processing image data of each image sensor to detect edges therein and for each image sensor generating a corresponding edge image, correlating the edge images to determine the shift of one edge image relative to the other edge image that yields the best match therebetween, and calculating a distance estimation based at least on the determined shift.
摘要翻译：使用由图像捕获装置的自动聚焦图像传感器生成的图像信号来估计与被摄体的距离的方法包括处理每个图像传感器的图像数据以检测其中的边缘，并且对于每个图像传感器生成相应的边缘图像，将边缘图像与确定一个边缘图像相对于在其间产生最佳匹配的另一边缘图像的移位，以及至少基于确定的移位来计算距离估计。

你已经成功收藏专利！

检索式保存成功!

IPRDB

热门服务

关于我们

友情链接

联系方式