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11. 发明授权

US07689011B2 Extracting features from face regions and auxiliary identification regions of images for person recognition and other applications 有权
标题翻译：从面部区域和图像的辅助识别区域中提取特征以进行人物识别和其他应用
公开(公告)号：US07689011B2
公开(公告)日：2010-03-30
申请号：US11527239
申请日：2006-09-26
申请人： Huitao Luo , Tong Zhang , Daniel Tretter
发明人： Huitao Luo , Tong Zhang , Daniel Tretter
IPC分类号： G06K9/00 , G06K9/46
CPC分类号： G06K9/00221
摘要： Method, apparatus, and systems for extracting features from face regions and auxiliary identification regions of images are described. In one aspect, a face region containing at least a portion of a person's face is detected in an input image. An auxiliary identification region outside the face region is identified in the input image. Facial features characterizing the face region are determined. Auxiliary identification features characterizing the auxiliary identification region are calculated. An indexing datum is derived from the facial features and the auxiliary identification features. The indexing datum is stored in association with the input image.
摘要翻译：描述了从面部区域和图像的辅助识别区域提取特征的方法，装置和系统。一方面，在输入图像中检测到包含人脸部的至少一部分的脸部区域。在输入图像中识别面部区域外部的辅助识别区域。确定表征面部区域的面部特征。计算表征辅助识别区域的辅助识别特征。索引基准是从面部特征和辅助识别特征导出的。索引数据与输入图像相关联地存储。

12. 发明申请

US20080075336A1 Extracting features from face regions and auxiliary identification regions of images for person recognition and other applications 有权
标题翻译：从面部区域和图像的辅助识别区域中提取特征以进行人物识别和其他应用
公开(公告)号：US20080075336A1
公开(公告)日：2008-03-27
申请号：US11527239
申请日：2006-09-26
申请人： Huitao Luo , Tong Zhang , Daniel Tretter
发明人： Huitao Luo , Tong Zhang , Daniel Tretter
IPC分类号： G06K9/00 , G06K9/46 , G06K9/66
CPC分类号： G06K9/00221
摘要： Method, apparatus, and systems for extracting features from face regions and auxiliary identification regions of images are described. In one aspect, a face region containing at least a portion of a person's face is detected in an input image. An auxiliary identification region outside the face region is identified in the input image. Facial features characterizing the face region are determined. Auxiliary identification features characterizing the auxiliary identification region are calculated. An indexing datum is derived from the facial features and the auxiliary identification features. The indexing datum is stored in association with the input image.
摘要翻译：描述了从面部区域和图像的辅助识别区域提取特征的方法，装置和系统。一方面，在输入图像中检测到包含人脸部的至少一部分的脸部区域。在输入图像中识别面部区域外部的辅助识别区域。确定表征面部区域的面部特征。计算表征辅助识别区域的辅助识别特征。索引基准是从面部特征和辅助识别特征导出的。索引数据与输入图像相关联地存储。

13. 发明授权

US07595823B2 Providing optimized digital images 有权
标题翻译：提供优化的数字图像
公开(公告)号：US07595823B2
公开(公告)日：2009-09-29
申请号：US11060526
申请日：2005-02-17
申请人： Jonathan Yen , Mei Chen , Ramin Samadani , Pere Obrador , Huitao Luo
发明人： Jonathan Yen , Mei Chen , Ramin Samadani , Pere Obrador , Huitao Luo
IPC分类号： H04N5/262
CPC分类号： H04N5/232
摘要： An exemplary method for providing an optimized digital image comprises obtaining digital image data by a digital image capture device, based on the digital image data, automatically determining at least two setting types, and a plurality of setting values therefor, for capturing a plurality of digital images, automatically capturing the plurality of digital images using the digital image capture device, each image being captured with at least one setting value different than another image, and providing an optimized digital image based on the plurality of digital images. In one exemplary embodiment, the optimized image is selected from the plurality of digital images. In another exemplary embodiment, the optimized image is synthesized based on the plurality of digital images.
摘要翻译：用于提供优化的数字图像的示例性方法包括基于数字图像数据，通过数字图像捕获装置获取数字图像数据，自动确定至少两种设置类型及其多个设置值，以捕获多个数字图像图像，使用数字图像捕获设备自动捕获多个数字图像，每个图像被以不同于另一图像的至少一个设置值捕获，以及基于多个数字图像提供优化的数字图像。在一个示例性实施例中，从多个数字图像中选择优化的图像。在另一示例性实施例中，基于多个数字图像来合成优化的图像。

14. 发明申请

US20060181614A1 Providing optimized digital images 有权
公开(公告)号：US20060181614A1
公开(公告)日：2006-08-17
申请号：US11060526
申请日：2005-02-17
申请人： Jonathan Yen , Mei Chen , Ramin Samadani , Pere Obrador , Huitao Luo
发明人： Jonathan Yen , Mei Chen , Ramin Samadani , Pere Obrador , Huitao Luo
IPC分类号： H04N5/228
CPC分类号： H04N5/232
摘要： An exemplary method for providing an optimized digital image comprises obtaining digital image data by a digital image capture device, based on the digital image data, automatically determining at least two setting types, and a plurality of setting values therefor, for capturing a plurality of digital images, automatically capturing the plurality of digital images using the digital image capture device, each image being captured with at least one setting value different than another image, and providing an optimized digital image based on the plurality of digital images. In one exemplary embodiment, the optimized image is selected from the plurality of digital images. In another exemplary embodiment, the optimized image is synthesized based on the plurality of digital images.

15. 发明授权

US07305131B2 Extracting graphical bar codes from an input image 有权
标题翻译：从输入图像中提取图形条形码
公开(公告)号：US07305131B2
公开(公告)日：2007-12-04
申请号：US10262434
申请日：2002-10-01
申请人： Jonathan Yen , Huitao Luo
发明人： Jonathan Yen , Huitao Luo
IPC分类号： G06K9/68 , G06K5/04
CPC分类号： G06K7/1443 , G06K7/14
摘要： Systems and methods for extracting a graphical bar code (i.e., an image that contains inconspicuous graphical modulations that encode embedded information) from an input image are described. In one aspect, estimates of position coordinates for a detected graphical bar code candidate are computed. An objective function is optimized based on the computed position coordinates to obtain final position coordinate estimates for the graphical bar code candidate. Non-graphical bar code regions are trimmed from the input image based on the final position coordinates for the graphical bar code candidate to produce a trimmed graphical bar code candidate for decoding.
摘要翻译：描述了用于从输入图像提取图形条形码（即，包含编码嵌入信息的不显眼图形调制的图像）的系统和方法。在一个方面，计算检测到的图形条形码候选的位置坐标的估计。基于所计算的位置坐标来优化目标函数，以获得图形条形码候选者的最终位置坐标估计。基于用于图形条形码候选的最终位置坐标来从输入图像修剪非图形条形码区域，以产生用于解码的修剪图形条形码候选。

16. 发明申请

US20060112038A1 Classifier performance 失效
标题翻译：分类器性能
公开(公告)号：US20060112038A1
公开(公告)日：2006-05-25
申请号：US10973217
申请日：2004-10-26
申请人： Huitao Luo
发明人： Huitao Luo
IPC分类号： G06F15/18
CPC分类号： G06N99/005 , G06K9/6256
摘要： Methods, machines, and machine readable media storing machine-readable instructions for improving classifier performance are described. In one aspect, threshold vectors Tk=(t1k, t2k, . . . , tnk) are input into a classifier that includes a cascade of n classification stages. Each classification stage i has a respective classification boundary that is controlled by a respective threshold tik, wherein i=1, . . . , n, n has an integer value greater than 1, k is an integer, and each threshold vector Tk corresponds to a respective operating point of the classifier. Threshold vectors corresponding to respective points on a receiver operating characteristic (ROC) curve approximating a target discrimination performance for multiple operating points of the classifier are identified.
摘要翻译：描述了存储用于改善分类器性能的机器可读指令的方法，机器和机器可读介质。在一个方面，阈值向量T N k =（t 1k 1，t 2 k k，...，t k nk））被输入到包括n个分级阶段的级联的分类器中。每个分类阶段i具有相应的分类边界，其由i = 1，...，。。，n，n具有大于1的整数值，k是整数，并且每个阈值向量T k k对应于分类器的相应工作点。识别对应于近似于分类器的多个操作点的目标识别性能的接收机工作特性（ROC）曲线上的各个点的阈值向量。

17. 发明申请

US20060098844A1 Object detection utilizing a rotated version of an image 审中-公开
标题翻译：使用旋转版本的图像的对象检测
公开(公告)号：US20060098844A1
公开(公告)日：2006-05-11
申请号：US10981486
申请日：2004-11-05
申请人： Huitao Luo
发明人： Huitao Luo
IPC分类号： G06K9/00 , G06K9/46
CPC分类号： G06K9/6203
摘要： A method for detecting a predetermined object in an image includes detecting a potential predetermined object in the image. In the method, at least one portion of the image is rotated and it is determined as to whether the potential predetermined object is detected in the rotated at least one portion of the image. Moreover, it is determined whether the potential predetermined object is an accurate detection of the predetermined object in response to a determination of whether the potential predetermined object is detected in the rotated at least one portion of the image.
摘要翻译：用于检测图像中的预定对象的方法包括检测图像中的潜在预定对象。在该方法中，图像的至少一部分被旋转，并且确定在旋转的图像的至少一部分中是否检测到潜在的预定对象。此外，响应于确定在旋转的图像的至少一部分中是否检测到潜在的预定对象，确定潜在的预定对象是否是对预定对象的精确检测。

18. 发明授权

US07519567B2 Enhanced classification of marginal instances 失效
标题翻译：加强对边际实例的分类
公开(公告)号：US07519567B2
公开(公告)日：2009-04-14
申请号：US11262653
申请日：2005-10-31
申请人： Huitao Luo
发明人： Huitao Luo
IPC分类号： G06N5/00
CPC分类号： G06N99/005 , G06K9/6256
摘要： Methods, systems, and machine readable media storing machine-readable instructions for enhanced classification of marginal instances are described. In one aspect, a classification system includes a cascade of forward classification stages and a marginal instance classifier. Each of the forward classification stages is configured to classify an instance into one of a rejected class, an unconditionally accepted class, and a conditionally accepted class. The cascade is configured to reject each instance classified into the rejected class by at least one of the forward classification stages, accept each instance classified into the unconditionally accepted class by all of the forward classification stages, and conditionally accept each instance classified into the conditionally accepted class by at least one of the forward classification stages. The marginal instance classifier is configured to classify each instance conditionally accepted by the cascade into one of a rejected class and an accepted class.
摘要翻译：描述存储用于边缘实例的增强分类的机器可读指令的方法，系统和机器可读介质。一方面，分类系统包括级联的前向分类阶段和边缘实例分类器。每个前向分类阶段被配置为将实例分类为被拒绝的类，无条件接受的类和有条件接受的类中的一个。级联被配置为通过至少一个前向分类阶段拒绝分类到被拒绝类的每个实例，接受通过所有前向分类阶段分类到无条件接受的类的每个实例，并且有条件地接受分为有条件接受的每个实例通过至少一个前向分类阶段进行分类。边缘实例分类器被配置为将由级联有条件接受的每个实例分类为被拒绝类和接受类之一。

19. 发明申请

US20060257017A1 Classification methods, classifier determination methods, classifiers, classifier determination devices, and articles of manufacture 有权
标题翻译：分类方法，分类器测定方法，分类器，分类器测定装置和制品
公开(公告)号：US20060257017A1
公开(公告)日：2006-11-16
申请号：US11129447
申请日：2005-05-12
申请人： Huitao Luo
发明人： Huitao Luo
IPC分类号： G06K9/62 , G06K9/40
CPC分类号： G06T7/0002 , G06K9/0061 , G06K9/6857 , G06T2207/30216
摘要： Classification methods, classifier determination methods, classifiers, classifier determination devices, and articles of manufacture are described. According to one embodiment, a classification method includes accessing an image to be analyzed for the presence of a predefined object, processing the image using a plurality of evaluation stages, generating a plurality of scores for respective ones of the evaluation stages responsive to the processing, wherein the scores are indicative of a likelihood of a candidate region of the image comprising the object, accumulating the scores from the evaluation stages to provide a cumulative score, and using the cumulative score, determining whether the candidate region comprises the object.
摘要翻译：描述了分类方法，分类器确定方法，分类器，分类器确定装置和制品。根据一个实施例，分类方法包括访问要分析的图像以存在预定对象，使用多个评估阶段处理图像，响应于该处理为相应的评估阶段生成多个分数，其中所述分数指示包括所述对象的图像的候选区域的可能性，累积来自所述评估阶段的分数以提供累积分数，并且使用所述累积分数，确定所述候选区域是否包括所述对象。

20. 发明申请

US20050089246A1 Assessing image quality 有权
标题翻译：评估图像质量
公开(公告)号：US20050089246A1
公开(公告)日：2005-04-28
申请号：US10694143
申请日：2003-10-27
申请人： Huitao Luo
发明人： Huitao Luo
IPC分类号： G06T7/00 , G06K9/00 , G06K9/46 , H04N7/26 , H04N17/00
CPC分类号： G06K9/00268 , G06K9/036 , G06T7/0002 , G06T2207/30168 , H04N17/004 , H04N19/14 , H04N19/17 , H04N19/85
摘要： Systems and methods of assessing image quality are described. In one scheme for assessing image quality, a target object region is detected in an input image. An image quality feature vector representing the target object region in an image quality feature space is generated. The image quality feature vector is mapped to a measure of image quality. In one scheme for generating an image quality assessment engine, target object regions are detected in multiple input images. Image quality feature vectors representing the target object regions in an image quality feature space are generated. The image quality feature vectors are correlated with respective measures of image quality assigned to the input images. A mapping between image quality feature vectors and assigned measures of image quality is computed.
摘要翻译：描述了评估图像质量的系统和方法。在用于评估图像质量的一种方案中，在输入图像中检测到目标对象区域。生成表示图像质量特征空间中的目标对象区域的图像质量特征向量。图像质量特征向量被映射到图像质量的度量。在用于生成图像质量评估引擎的一种方案中，在多个输入图像中检测目标对象区域。生成表示图像质量特征空间中的目标对象区域的图像质量特征向量。图像质量特征向量与分配给输入图像的图像质量的相应度量相关联。计算图像质量特征向量和分配的图像质量度量之间的映射。

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