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公开(公告)号：US20120033890A1
公开(公告)日：2012-02-09
申请号：US13083286
申请日：2011-04-08
申请人： Jonathan Yen , William C. Kress
发明人： Jonathan Yen , William C. Kress
IPC分类号： G06K9/46
CPC分类号： H04N1/00005 , H04N1/00037 , H04N1/00039 , H04N1/00047 , H04N1/00068 , H04N1/00082 , H04N1/00925
摘要： Systems and methods for backlit scene detection are described. The method includes performing a pre-test on an electronic image to determine that the electronic image does not include a disqualifying characteristic. Next, the method includes performing a type test on the electronic image to determine an image type of the electronic image from a first set of predetermined backlit image types. Next the method includes performing a post test on the electronic image to determine that the image darkness density does not exceed a predetermined density. Finally, the method includes performing a second post test on the electronic image to determine that the electronic image is one of a second set of predetermined backlit image types or that the edge percentage of the electronic image exceeds a predetermined percentage.
摘要翻译： 描述背光场景检测的系统和方法。 该方法包括对电子图像执行预测试以确定电子图像不包括不合格特征。 接下来，该方法包括对电子图像执行类型测试以从第一组预定背光图像类型确定电子图像的图像类型。 接下来，该方法包括对电子图像进行后验测试以确定图像暗度密度不超过预定密度。 最后，该方法包括对电子图像执行第二次后测试以确定电子图像是第二组预定背光图像类型之一或电子图像的边缘百分比超过预定百分比。
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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。
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3.发明申请公开(公告)号：US20100195911A1
公开(公告)日：2010-08-05
申请号：US12322394
申请日：2009-02-02
申请人： Jonathan Yen , Tony Quach
发明人： Jonathan Yen , Tony Quach
IPC分类号： G06K9/46
CPC分类号： G06K9/00234
摘要： The subject application is directed to a system and method for image facial detection employing skin tones. Image data comprised of a plurality of pixels encoded in at least a three dimensional component space is received and sub-sampled region data is generated from the received image data. A percentage of pixels having a low chroma value below a threshold value is then calculated and tested against a predetermined percentage threshold value. Each pixel is then classified in accordance with a skin tone model. Skin tone map data is then generated based on classification and a skin tone mask is output form the map data.
摘要翻译： 本申请涉及使用肤色的图像面部检测系统和方法。 接收由至少三维分量空间中编码的多个像素构成的图像数据，并从接收到的图像数据生成子采样区域数据。 然后根据预定百分比阈值计算和测试具有低于阈值的低色度值的像素的百分比。 然后根据肤色模型对每个像素进行分类。 然后基于分类生成皮肤色调图数据，并且从地图数据输出肤色蒙版。
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公开(公告)号：US20090220120A1
公开(公告)日：2009-09-03
申请号：US12039225
申请日：2008-02-28
申请人： Jonathan Yen , William C. Kress , Harold Boll , Robert Poe
发明人： Jonathan Yen , William C. Kress , Harold Boll , Robert Poe
IPC分类号： G06K9/00
CPC分类号： G06K9/00664 , G06K9/4652 , G06T7/90
摘要： The subject application is directed to a system and method for artistic scene image detection. First, image data is received that is encoded in a multi-dimensional color space. From the received image data, histogram data is then calculated. Dominant spike regions in the calculated histogram data are then identified. An N-sum value is then calculated from the identified dominant spike regions in the calculated histogram data. Testing of the calculated N-sum value against a predetermined threshold value then occurs. The received image data is thereafter classified as an artistic scene, a tinted artistic scene, or a sepia tone range artistic scene according to the testing results.
摘要翻译： 本申请涉及用于艺术场景图像检测的系统和方法。 首先，接收以多维颜色空间编码的图像数据。 从接收到的图像数据中，计算直方图数据。 然后确定计算的直方图数据中的主峰值区域。 然后，在所计算的直方图数据中，根据所识别的优势尖峰区域计算N和值。 然后发生对预定阈值的计算的N和值的测试。 根据测试结果，接收到的图像数据此后被分类为艺术场景，有色艺术场景或深褐色调范围艺术场景。
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公开(公告)号：US20090067714A1
公开(公告)日：2009-03-12
申请号：US11851160
申请日：2007-09-06
申请人： Jonathan YEN , William C. Kress
发明人： Jonathan YEN , William C. Kress
CPC分类号： G06K9/00664
摘要： The subject application is directed to a system and method for image fog scene detection. Electronic image data is first received and divided into image regions, with each region consisting of a plurality of pixels. Next, a comparison matrix is generated corresponding to each image region based upon a comparison of minimum intensity values associated with corresponding pixels to a threshold value. An entry of at least one of the comparison matrices is then tested for a preselected value. The received electronic image data is then identified as inclusive of a fog scene based upon the output of the test on the entry of the comparison matrix. Based upon the identification, fog scene detection data representing an identified fog scene is then generated.
摘要翻译： 本申请涉及用于图像雾场景检测的系统和方法。 首先接收电子图像数据并将其划分为图像区域，每个区域由多个像素组成。 接下来，基于与相应像素相关联的最小强度值与阈值的比较，生成对应于每个图像区域的比较矩阵。 然后针对预选值测试至少一个比较矩阵的条目。 然后，基于对比较矩阵的输入的测试的输出，将接收到的电子图像数据识别为包含雾景。 基于识别，然后生成表示识别的雾场景的雾景检测数据。
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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
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。
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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。
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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
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。
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公开(公告)号：US07107453B2
公开(公告)日：2006-09-12
申请号：US09728292
申请日：2000-12-01
申请人： Jonathan Yen , Gerald Q. Maguire, Jr. , Chit Wei Saw , Yihong Xu
发明人： Jonathan Yen , Gerald Q. Maguire, Jr. , Chit Wei Saw , Yihong Xu
CPC分类号： G06T1/0028 , G06K1/121 , G06K7/14 , G06K19/06028 , G06K19/06037 , G06T2201/0065
摘要： Systems and methods for generating and decoding authenticatable graphical bar codes are described. In one aspect, a corroborative signed message is generated from information to be encoded, and a base image is modulated with a graphical encoding of the signed message to produce a marked image. In another aspect, a signed message is extracted from a marked image based upon a comparison of the marked image and a base image. The extracted signed message is decoded to produce a decoded message. Information encoded in the marked image is extracted from the decoded message and authenticated.
摘要翻译： 描述用于生成和解码可鉴定图形条形码的系统和方法。 在一个方面，从要编码的信息生成确认签名的消息，并且用签名的消息的图形编码调制基本图像以产生标记的图像。 在另一方面，基于标记图像和基本图像的比较，从标记图像中提取签名消息。 提取的签名消息被解码以产生解码的消息。 从解码的消息中提取在标记图像中编码的信息并进行认证。
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公开(公告)号：US06938017B2
公开(公告)日：2005-08-30
申请号：US09728297
申请日：2000-12-01
申请人： Jonathan Yen , Chit Wei Saw , Doron Shaked , Avraham Levy
发明人： Jonathan Yen , Chit Wei Saw , Doron Shaked , Avraham Levy
CPC分类号： G07B17/00508 , G06Q20/3672 , G07B2017/00443 , G07B2017/0058 , G07B2017/00588 , G07B2017/00637 , G07B2017/00709
摘要： Payment indicia generating schemes are described that enable users to customize the appearance of the payment indicium and to accommodate a wide variety of validation processing environments, while providing a substantial defense against fraudulent photocopy attack. In some embodiments, a corroborative digital token is generated from payment information, and a base image is modulated with a graphical encoding of the corroborative digital token to produce a payment indicium. In some embodiments, a payment indicium containing embedded payment information is rendered on a printing surface with a printing characteristic that degrades with photographic reproductions such that the embedded payment information is extractable from an original rendering of the payment indicium but is un-extractable from a photographic reproduction of an original rendering of the payment indicium. In some embodiments, payment information is encoded into a corroborative digital token based at least in part upon one or more variable encoding parameters, and a payment indicium containing the encoded payment information is rendered.
摘要翻译： 描述支付标记生成方案，使得用户能够定制支付标记的外观并且适应各种各样的验证处理环境，同时提供对欺诈性复印攻击的实质防御。 在一些实施例中，从付款信息生成确认数字令牌，并且使用确认数字令牌的图形编码来调制基本图像以产生支付标记。 在一些实施例中，包含嵌入式支付信息的支付标记在打印表面上呈现，其印刷特性与照相复制品降级，使得嵌入的支付信息可从支付标记的原始呈现中提取，但不能从照相中提取 复制支付标记的原始呈现。 在一些实施例中，支付信息至少部分地基于一个或多个可变编码参数被编码为确认数字令牌，并且呈现包含编码支付信息的支付标记。
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