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1. 发明授权

US07031553B2 Method and apparatus for recognizing text in an image sequence of scene imagery 有权
公开(公告)号：US07031553B2
公开(公告)日：2006-04-18
申请号：US09895868
申请日：2001-06-29
申请人： Gregory K. Myers , Robert C. Bolles , Quang-Tuan Luong , James A. Herson
发明人： Gregory K. Myers , Robert C. Bolles , Quang-Tuan Luong , James A. Herson
IPC分类号： G06K9/36
CPC分类号： G06K9/3283 , G06K9/3258 , G06K2209/01
摘要： An apparatus and a concomitant method for detecting and recognizing text information in a captured imagery. The present method transforms the image of the text to a normalized coordinate system before performing OCR, thereby yielding more robust recognition performance. The present invention also combines OCR results from multiple frames, in a manner that takes the best recognition results from each frame and forms a single result that can be more accurate than the results from any of the individual frames.

2. 发明申请

US20060120629A1 Method and apparatus for recognizing text in an image sequence of scene imagery 有权
公开(公告)号：US20060120629A1
公开(公告)日：2006-06-08
申请号：US11330494
申请日：2006-01-11
申请人： Gregory Myers , Robert Bolles , Quang-Tuan Luong , James Herson
发明人： Gregory Myers , Robert Bolles , Quang-Tuan Luong , James Herson
IPC分类号： G06K9/34 , G06K9/00 , G06K7/10
CPC分类号： G06K9/3283 , G06K9/3258 , G06K2209/01
摘要： An apparatus and a concomitant method for detecting and recognizing text information in a captured imagery. The present method transforms the image of the text to a normalized coordinate system before performing OCR, thereby yielding more robust recognition performance. The present invention also combines OCR results from multiple frames, in a manner that takes the best recognition results from each frame and forms a single result that can be more accurate than the results from any of the individual frames.

3. 再颁专利

USRE42999E1 Method and system for estimating the accuracy of inference algorithms using the self-consistency methodology 有权
标题翻译：使用自我一致性方法估计推理算法的准确性的方法和系统
公开(公告)号：USRE42999E1
公开(公告)日：2011-12-06
申请号：US11645331
申请日：2006-12-21
申请人： Yvan G. LeClerc , Margaret Frances Davies, legal representative , Quang-Tuan Luong , Pascal Fua
发明人： Yvan G. LeClerc , Quang-Tuan Luong , Pascal Fua
IPC分类号： G06K9/00
CPC分类号： G06K9/00624 , G06K9/6212
摘要： The present invention provides a method for measuring the self-consistency of inference algorithms. The present invention provides a method for measuring the accuracy of an inference algorithm that does not require comparison to ground truth. Rather, the present invention pertains to a method for measuring the accuracy of an inference algorithm by comparing the outputs of the inference algorithm against each other. Essentially, the present invention looks at how well the algorithm applied to many of the different observations gives the same answer. In particular, the present invention provides a method that is not time and labor intensive and is cost effective.
摘要翻译：本发明提供了一种用于测量推理算法的自身一致性的方法。本发明提供了一种用于测量不需要与地面真相进行比较的推理算法的精度的方法。相反，本发明涉及通过将推理算法的输出相互比较来测量推理算法的精度的方法。本质上，本发明考察了该算法对许多不同观测结果的适用程度如何。特别地，本发明提供了一种不是时间和劳动密集型并且是成本有效的方法。

4. 发明申请

US20080101726A1 METHOD AND APPARATUS FOR RECOGNIZING TEXT IN AN IMAGE SEQUENCE OF SCENE IMAGERY 有权
标题翻译：用于识别场景图像的图像序列中的文本的方法和装置
公开(公告)号：US20080101726A1
公开(公告)日：2008-05-01
申请号：US11969032
申请日：2008-01-03
申请人： GREGORY MYERS , Robert Bolles , Quang-Tuan Luong , James Herson
发明人： GREGORY MYERS , Robert Bolles , Quang-Tuan Luong , James Herson
IPC分类号： G06K9/36
CPC分类号： G06K9/3283 , G06K9/3258 , G06K2209/01
摘要： An apparatus and a concomitant method for detecting and recognizing text information in a captured imagery. The present method transforms the image of the text to a normalized coordinate system before performing OCR, thereby yielding more robust recognition performance. The present invention also combines OCR results from multiple frames, in a manner that takes the best recognition results from each frame and forms a single result that can be more accurate than the results from any of the individual frames.
摘要翻译：一种用于在捕获的图像中检测和识别文本信息的装置和伴随方法。本方法在执行OCR之前将文本的图像转换为归一化坐标系，从而产生更强大的识别性能。本发明还结合了来自多个帧的OCR结果，其方式是从每个帧获得最佳的识别结果并形成可以比来自任何单个帧的结果更准确的单个结果。

5. 发明授权

US07620268B2 Method and apparatus for recognizing text in an image sequence of scene imagery 有权
公开(公告)号：US07620268B2
公开(公告)日：2009-11-17
申请号：US11969032
申请日：2008-01-03
申请人： Gregory K. Myers , Robert C. Bolles , Quang-Tuan Luong , James A. Herson
发明人： Gregory K. Myers , Robert C. Bolles , Quang-Tuan Luong , James A. Herson
IPC分类号： G06K9/36 , G06K9/34 , G06K9/00
CPC分类号： G06K9/3283 , G06K9/3258 , G06K2209/01
摘要： An apparatus and a concomitant method for detecting and recognizing text information in a captured imagery. The present method transforms the image of the text to a normalized coordinate system before performing OCR, thereby yielding more robust recognition performance. The present invention also combines OCR results from multiple frames, in a manner that takes the best recognition results from each frame and forms a single result that can be more accurate than the results from any of the individual frames.

6. 发明授权

US07333676B2 Method and apparatus for recognizing text in an image sequence of scene imagery 有权
标题翻译：用于识别场景图像的图像序列中的文本的方法和装置
公开(公告)号：US07333676B2
公开(公告)日：2008-02-19
申请号：US11330494
申请日：2006-01-11
申请人： Gregory K. Myers , Robert C. Bolles , Quang-Tuan Luong , James A. Herson
发明人： Gregory K. Myers , Robert C. Bolles , Quang-Tuan Luong , James A. Herson
IPC分类号： G06K9/36 , G06K9/34 , G06K9/00
CPC分类号： G06K9/3283 , G06K9/3258 , G06K2209/01
摘要： An apparatus and a concomitant method for detecting and recognizing text information in a captured imagery. The present method transforms the image of the text to a normalized coordinate system before performing OCR, thereby yielding more robust recognition performance. The present invention also combines OCR results from multiple frames, in a manner that takes the best recognition results from each frame and forms a single result that can be more accurate than the results from any of the individual frames.
摘要翻译：一种用于在捕获的图像中检测和识别文本信息的装置和伴随方法。本方法在执行OCR之前将文本的图像转换为归一化坐标系，从而产生更强大的识别性能。本发明还结合了来自多个帧的OCR结果，其方式是从每个帧获得最佳的识别结果并形成可以比来自任何单个帧的结果更准确的单个结果。

7. 发明授权

US06963662B1 Method and system for detecting changes in three dimensional shape 有权
标题翻译：检测三维形状变化的方法和系统
公开(公告)号：US06963662B1
公开(公告)日：2005-11-08
申请号：US09714346
申请日：2000-11-15
申请人： Yvan G. LeClerc , Quang-Tuan Luong , Pascal V. Fua
发明人： Yvan G. LeClerc , Quang-Tuan Luong , Pascal V. Fua
IPC分类号： G06K9/00 , G06T7/00 , G06T7/20
CPC分类号： G06T7/0002 , G06K9/00201 , G06T7/251 , G06T7/97 , G06T2207/10021
摘要： The present invention provides a method for reliably detecting change in the 3-D shape of objects. It uses an estimate of the accuracy of the 3-D models derived from a set of images taken simultaneously. This accuracy estimate is used to distinguish between significant and insignificant changes in 3-D models derived from different image sets. In one embodiment of the present invention, the accuracy of the 3-D model is estimated using self-consistency methodology for estimating the accuracy of computer vision algorithms. In another embodiment of the present invention, resampling theory is used to compare the mean or median elevation for each change in the models. This methodology allows for estimating, for a given 3-D reconstruction algorithm and class of scenes, the expected variation in the 3-D reconstruction of objects as a function of viewing geometry and local image-matching quality (referred to as a “score”). Differences between two 3-D reconstructions of an object that exceed this expected variation for a given significance level are deemed to be due to a change in the object's shape, while those below this are deemed to be due to uncertainty in the reconstructions.
摘要翻译：本发明提供一种可靠地检测物体的三维形状变化的方法。它使用从同时拍摄的一组图像得到的3-D模型的精度估计。该精度估计用于区分来自不同图像集的3-D模型的显着和微不足道的变化。在本发明的一个实施例中，使用自我一致性方法来估计3-D模型的精度来估计计算机视觉算法的准确性。在本发明的另一个实施例中，重采样理论用于比较模型中每个变化的平均值或中值高程。该方法允许对于给定的3-D重建算法和类别的场景，估计作为观察几何和局部图像匹配质量的函数的对象的3-D重建中的预期变化（称为“分数” ）。对于某一特定重要性水平，超过此预期变化的物体的三维重建之间的差异被认为是由于物体形状的变化而引起的，而低于此值的则被认为是由于重建中的不确定性造成的。

8. 发明授权

US06834120B1 Method and system for estimating the accuracy of inference algorithms using the self-consistency methodology 有权
标题翻译：使用自我一致性方法估计推理算法的准确性的方法和系统
公开(公告)号：US06834120B1
公开(公告)日：2004-12-21
申请号：US09714345
申请日：2000-11-15
申请人： Yvan G. LeClerc , Quang-Tuan Luong , Pascal Fua
发明人： Yvan G. LeClerc , Quang-Tuan Luong , Pascal Fua
IPC分类号： G06K900
CPC分类号： G06K9/00624 , G06K9/6212
摘要： The present invention provides a method for measuring the self-consistency of inference algorithms. The present invention provides a method for measuring the accuracy of an inference algorithm that does not require comparison to ground truth. Rather, the present invention pertains to a method for measuring the accuracy of an inference algorithm by comparing the outputs of the inference algorithm against each other. Essentially, the present invention looks at how well the algorithm applied to many of the different observations gives the same answer. In particular, the present invention provides a method that is not time and labor intensive and is cost effective.
摘要翻译：本发明提供了一种用于测量推理算法的自身一致性的方法。本发明提供了一种用于测量不需要与地面真相进行比较的推理算法的精度的方法。相反，本发明涉及通过将推理算法的输出相互比较来测量推理算法的精度的方法。本质上，本发明考察了该算法对许多不同观测结果的适用程度如何。特别地，本发明提供了一种不是时间和劳动密集型并且是成本有效的方法。

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