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1. 发明申请

US20050067496A1 Extracting graphical bar codes from template-based documents 失效
标题翻译：从基于模板的文档中提取图形条形码
公开(公告)号：US20050067496A1
公开(公告)日：2005-03-31
申请号：US10675026
申请日：2003-09-30
申请人： Jonathan Yen , Jian Fan , Daniel Tretter
发明人： Jonathan Yen , Jian Fan , Daniel Tretter
IPC分类号： G06K7/10 , G06K9/20 , G06K19/06 , G06K5/04 , G06K9/32
CPC分类号： G06K7/10 , G06K9/2054 , G06K19/06009
摘要： Systems and methods of extracting from an input image a graphical bar code containing graphically encoded information are described. In one aspect, a document template is matched to the input image. The document template is selected from a set of document templates each having a respective predetermined page layout corresponding to a respective document type and including a predetermined graphical bar code location. The input image is cropped based on information relating to the graphical bar code location in the page layout of the document template matched to the input image to produce a cropped graphical bar code candidate for decoding.
摘要翻译：描述从输入图像提取包含图形编码信息的图形条形码的系统和方法。在一个方面，文档模板与输入图像匹配。从一组文档模板中选择文档模板，每个文档模板具有对应于相应文档类型并且包括预定图形条形码位置的相应预定页面布局。基于与输入图像匹配的文档模板的页面布局中的图形条形码位置相关的信息裁剪输入图像，以产生用于解码的剪切图形条形码候选。

2. 发明授权

US07017816B2 Extracting graphical bar codes from template-based documents 失效
标题翻译：从基于模板的文档中提取图形条形码
公开(公告)号：US07017816B2
公开(公告)日：2006-03-28
申请号：US10675026
申请日：2003-09-30
申请人： Jonathan Yen , Jian Fan , Daniel Tretter
发明人： Jonathan Yen , Jian Fan , Daniel Tretter
IPC分类号： G02B26/10
CPC分类号： G06K7/10 , G06K9/2054 , G06K19/06009
摘要： Systems and methods of extracting from an input image a graphical bar code containing graphically encoded information are described. In one aspect, a document template is matched to the input image. The document template is selected from a set of document templates each having a respective predetermined page layout corresponding to a respective document type and including a predetermined graphical bar code location. The input image is cropped based on information relating to the graphical bar code location in the page layout of the document template matched to the input image to produce a cropped graphical bar code candidate for decoding.
摘要翻译：描述从输入图像提取包含图形编码信息的图形条形码的系统和方法。在一个方面，文档模板与输入图像匹配。从一组文档模板中选择文档模板，每个文档模板具有对应于相应文档类型并且包括预定图形条形码位置的相应预定页面布局。基于与输入图像匹配的文档模板的页面布局中的图形条形码位置相关的信息裁剪输入图像，以产生用于解码的剪切图形条形码候选。

3. 发明授权

US08064694B2 Nonhuman animal integument pixel classification 有权
标题翻译：非人类动物皮肤像素分类
公开(公告)号：US08064694B2
公开(公告)日：2011-11-22
申请号：US11472712
申请日：2006-06-21
申请人： Jonathan Yen , Debargha Mukherjee , Daniel Tretter , Suk Hwan Lim
发明人： Jonathan Yen , Debargha Mukherjee , Daniel Tretter , Suk Hwan Lim
IPC分类号： G06K9/34
CPC分类号： G06K9/00362
摘要： Systems and methods of classifying pixels into a nonhuman animal integument class are described. In one aspect, values of features in a discriminant space are determined for respective pixels of the input image. The pixels are classified into a nonhuman animal integument class based on the respective feature values and a mapping that segments the discriminant space into one or more regions of feature values representing pixels associated with a nonhuman animal integument characteristic and one or more regions of feature values representing pixels unassociated with the nonhuman animal integument characteristic.
摘要翻译：描述了将像素分类成非人动物皮肤类的系统和方法。在一个方面，针对输入图像的各个像素确定判别空间中的特征的值。基于相应的特征值将像素分类为非人类动物皮肤类，以及将判别空间分割成表示与非人动物特征的特征值相关联的特征值的一个或多个区域的映射，以及表示与像素与非人类动物皮肤特征无关。

4. 发明申请

US20070297673A1 Nonhuman animal integument pixel classification 有权
标题翻译：非人类动物皮肤像素分类
公开(公告)号：US20070297673A1
公开(公告)日：2007-12-27
申请号：US11472712
申请日：2006-06-21
申请人： Jonathan Yen , Debargha Mukherjee , Daniel Tretter , Suk Hwan Lim
发明人： Jonathan Yen , Debargha Mukherjee , Daniel Tretter , Suk Hwan Lim
IPC分类号： G06K9/00 , G06K9/34
CPC分类号： G06K9/00362
摘要： Systems and methods of classifying pixels into a nonhuman animal integument class are described. In one aspect, values of features in a discriminant space are determined for respective pixels of the input image. The pixels are classified into a nonhuman animal integument class based on the respective feature values and a mapping that segments the discriminant space into one or more regions of feature values representing pixels associated with a nonhuman animal integument characteristic and one or more regions of feature values representing pixels unassociated with the nonhuman animal integument characteristic.
摘要翻译：描述了将像素分类成非人动物皮肤类的系统和方法。在一个方面，针对输入图像的各个像素确定判别空间中的特征的值。基于相应的特征值将像素分类为非人类动物皮肤类，以及将判别空间分割成表示与非人动物特征的特征值相关联的特征值的一个或多个区域的映射，以及表示与像素与非人类动物皮肤特征无关。

5. 发明申请

US20070253699A1 Using camera metadata to classify images into scene type classes 有权
标题翻译：使用相机元数据将图像分类为场景类型类
公开(公告)号：US20070253699A1
公开(公告)日：2007-11-01
申请号：US11411481
申请日：2006-04-26
申请人： Jonathan Yen , Peng Wu , Daniel Tretter
发明人： Jonathan Yen , Peng Wu , Daniel Tretter
IPC分类号： G03B17/24
CPC分类号： G06K9/00664 , G06K2209/27
摘要： In one aspect, a metadata-based classification result is obtained based on metadata associated with an image. A histogram-based classification result is determined based on a histogram of intensity values derived from the image. The image is classified into a scene type class based on the metadata-based classification result and the histogram-based classification result. In another aspect, a first condition is applied on a first one of metadata associated with an image corresponding to a measure of amount of light received in capturing the image to obtain a first metadata-based classification result. A second condition is applied on a second one of the metadata corresponding to a measure of brightness of the image to obtain a second metadata-based classification result. The image is classified into a scene type class based on the first and second metadata-based classification results.
摘要翻译：在一个方面，基于元数据的分类结果是基于与图像相关联的元数据获得的。基于直方图的分类结果基于从图像导出的强度值的直方图来确定。基于基于元数据的分类结果和基于直方图的分类结果将图像分类为场景类型类。在另一方面，第一条件被应用于与对应于在捕获图像中接收的光量的度量相对应的图像的第一个元数据，以获得第一基于元数据的分类结果。第二条件被应用于对应于图像的亮度的度量的第二个元数据，以获得第二基于元数据的分类结果。基于第一和第二基于元数据的分类结果将图像分类为场景类型类别。

6. 发明授权

US07116820B2 Detecting and correcting red-eye in a digital image 有权
标题翻译：在数字图像中检测和校正红眼
公开(公告)号：US07116820B2
公开(公告)日：2006-10-03
申请号：US10424419
申请日：2003-04-28
申请人： Huitao Luo , Jonathan Yen , Daniel Tretter
发明人： Huitao Luo , Jonathan Yen , Daniel Tretter
IPC分类号： G06K9/00 , G06K9/40
CPC分类号： G06K9/0061 , H04N1/62 , H04N1/624
摘要： A preliminary set of candidate red-eye pixel areas is identified based on computed pixel redness measures. Candidate red-eye pixel areas having computed redness contrasts relative to respective neighboring pixel areas less than a prescribed redness contrast threshold are filtered from the preliminary set. Candidate red-eye pixel areas located in areas of the digital image having computed grayscale contrasts relative to respective neighboring pixel areas less than a prescribed grayscale contrast threshold also are filtered from the preliminary set. In another aspect, a final pixel mask identifying red-eye pixels and non-red-eye pixels in the candidate red-eye area is generated. Pixels in the candidate red-eye pixel area identified as red-eye pixels in the final pixel mask are desaturated from their original color values by respective scaling factors that vary depending on luminance of the pixels in the candidate red-eye pixel area and proximity of the pixels to boundaries between red-eye pixels and non-red-eye pixels.
摘要翻译：基于计算出的像素发光度量来识别初步的一组候选红眼像素区域。从初步集合中滤出具有相对于相对于相应的相邻像素区域计算的红度对比度的候选红眼像素区域，该相邻像素区域小于规定的红度对比度阈值。从初步集合中滤除位于具有计算的灰度对比度的数字图像的区域中的候选红眼像素区域相对于小于规定灰度对比度阈值的相邻像素区域。在另一方面，生成识别候选红眼区域中的红眼像素和非红眼像素的最终像素掩模。在最终像素掩模中被识别为红眼像素的候选红眼像素区域中的像素从其原始颜色值中减去相应的缩放因子，该比例因子根据候选红眼像素区域中的像素的亮度而变化，像素到红眼像素与非红眼像素之间的边界。

7. 发明申请

US20080112613A1 Detecting And Correcting Redeye In An Image 有权
标题翻译：在图像中检测和校正红眼
公开(公告)号：US20080112613A1
公开(公告)日：2008-05-15
申请号：US12017335
申请日：2008-01-21
申请人： Huitao Luo , Jonathan Yen , Daniel Tretter
发明人： Huitao Luo , Jonathan Yen , Daniel Tretter
IPC分类号： G06K9/00
CPC分类号： G06K9/0061 , H04N1/62 , H04N1/624
摘要： Systems and methods of detecting and correcting redeye in an image are described. In one aspect, pixels of the input image are segmented based on projections of color values of the pixels onto two-dimensional thresholding planes. Candidate redeye pixel areas are identified in the input image based on the segmented pixels of the input image.
摘要翻译：描述了图像中检测和校正红眼的系统和方法。在一个方面，基于将像素的颜色值投影到二维阈值平面上来分割输入图像的像素。基于输入图像的分割像素，在输入图像中识别候选红眼像素区域。

8. 发明申请

US20050047655A1 Detecting and correcting redeye in an image 有权
标题翻译：在图像中检测和校正红眼
公开(公告)号：US20050047655A1
公开(公告)日：2005-03-03
申请号：US10653019
申请日：2003-08-29
申请人： Huitao Luo , Jonathan Yen , Daniel Tretter
发明人： Huitao Luo , Jonathan Yen , Daniel Tretter
IPC分类号： G06K9/00 , H04N1/62 , G06K9/34 , H04N5/217
CPC分类号： G06K9/0061 , H04N1/62 , H04N1/624
摘要： Systems and methods of detecting and correcting redeye in an image are described. In one aspect, pixels of the input image are segmented based on projections of color values of the pixels onto two-dimensional thresholding planes. Candidate redeye pixel areas are identified in the input image based on the segmented pixels of the input image.
摘要翻译：描述了图像中检测和校正红眼的系统和方法。在一个方面，基于将像素的颜色值投影到二维阈值平面上来分割输入图像的像素。基于输入图像的分割像素，在输入图像中识别候选红眼像素区域。

9. 发明授权

US07747071B2 Detecting and correcting peteye 有权
标题翻译：检测和纠正peteye
公开(公告)号：US07747071B2
公开(公告)日：2010-06-29
申请号：US11260636
申请日：2005-10-27
申请人： Jonathan Yen , Daniel Tretter , Huitao Luo , Suk Hwan Lim
发明人： Jonathan Yen , Daniel Tretter , Huitao Luo , Suk Hwan Lim
IPC分类号： G06K9/00
CPC分类号： G06K9/0061
摘要： Peteye is the appearance of an unnatural coloration (not necessarily red) of the pupils in an animal appearing in an image captured by a camera with flash illumination. Systems and methods of detecting and correcting peteye are described. In one aspect a classification map segmenting pixels in the input image into peteye pixels and non-peteye pixels is generated based on a respective segmentation condition on values of the pixels. Candidate peteye pixel areas are identified in the classification map. The generating and the identifying processes are repeated with the respective condition replaced by a different respective segmentation condition on the pixel values.
摘要翻译： Peteye是出现在用闪光照相机拍摄的图像中出现的动物中的不自然着色（不一定是红色）的瞳孔的出现。描述了检测和修正peteye的系统和方法。在一个方面，基于对像素的值的相应分割条件来生成将输入图像中的像素分割成peteye像素和非peteye像素的分类图。候选peteye像素区域在分类图中被识别。重复生成和识别处理，其中各个条件由像素值上的不同的相应分割条件替换。

10. 发明申请

US20110019912A1 Detecting And Correcting Peteye 审中-公开
标题翻译：检测和纠正佩蒂
公开(公告)号：US20110019912A1
公开(公告)日：2011-01-27
申请号：US12822864
申请日：2010-06-24
申请人： Jonathan Yen , Daniel Tretter , Huitao Luo , Suk Hwan Lim
发明人： Jonathan Yen , Daniel Tretter , Huitao Luo , Suk Hwan Lim
IPC分类号： G06K9/34
CPC分类号： G06K9/0061
摘要： Peteye is the appearance of an unnatural coloration (not necessarily red) of the pupils in an animal appearing in an image captured by a camera with flash illumination. Systems and methods of detecting and correcting peteye are described. In one aspect a classification map segmenting pixels in the input image into peteye pixels and non-peteye pixels is generated based on a respective segmentation condition on values of the pixels. Candidate peteye pixel areas are identified in the classification map. The generating and the identifying processes are repeated with the respective condition replaced by a different respective segmentation condition on the pixel values.
摘要翻译： Peteye是出现在用闪光照相机拍摄的图像中出现的动物中的不自然着色（不一定是红色）的瞳孔的出现。描述了检测和修正peteye的系统和方法。在一个方面，基于对像素的值的相应分割条件来生成将输入图像中的像素分割成peteye像素和非peteye像素的分类图。候选peteye像素区域在分类图中被识别。重复生成和识别处理，其中各个条件由像素值上的不同的相应分割条件替换。

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