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公开(公告)号：US08165397B2
公开(公告)日：2012-04-24
申请号：US11987777
申请日：2007-12-04
IPC分类号： G06K9/00
CPC分类号： G06K9/4614 , G06K9/4647
摘要： A device and method for processing an image to create appearance and shape labeled images of a person or object captured within the image. The appearance and shape labeled images are unique properties of the person or object and can be used to re-identify the person or object in subsequent images. The appearance labeled image is an aggregate of pre-stored appearance labels that are assigned to image segments of the image based on calculated appearance attributes of each image segment. The shape labeled image is an aggregate of pre-stored shape labels that are assigned to image segments of the image based on calculated shape attributes of each image segment. An identifying descriptor of the person or object can be computed based on both the appearance labeled image and the shape labeled image. The descriptor can be compared with other descriptors of later captured images to re-identify a person or object.
摘要翻译： 一种用于处理图像以创建在图像内捕获的人或物体的标记图像的外观和形状的形状的装置和方法。 标记图像的外观和形状是人或物体的独特属性，可用于在后续图像中重新识别人或物体。 标注图像的外观是根据每个图像段的计算外观属性分配给图像的图像段的预先存储的外观标签的聚合。 形状标记图像是基于每个图像片段的计算形状属性分配给图像的图像片段的预先存储的形状标签的聚合。 可以基于外观标记图像和标记图像的形状来计算人物或物体的识别描述符。 可以将描述符与后面捕获的图像的其他描述符进行比较，以重新识别人或物体。
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2.发明申请公开(公告)号：US20100111376A1
公开(公告)日：2010-05-06
申请号：US12457959
申请日：2009-06-26
申请人： Weizhong Yan , Frederick W. Wheeler , Peter H. Tu , Xiaoming Liu
发明人： Weizhong Yan , Frederick W. Wheeler , Peter H. Tu , Xiaoming Liu
IPC分类号： G06K9/00
CPC分类号： G07C9/00158 , G06K9/00268 , G06K9/036 , G06K9/6255
摘要： A biometric sample training device, a biometric sample quality assessment device, a biometric fusion recognition device, an integrated biometric fusion recognition system and example processes in which each may be used are described. Wavelets and a boosted classifier are used to assess the quality of biometric samples, such as facial images. The described biometric sample quality assessment approach provides accurate and reliable quality assessment values that are robust to various degradation factors, e.g., such as pose, illumination, and lighting in facial image biometric samples. The quality assessment values allow biometric samples of different sample types to be combined to support complex recognition techniques used by, for example, biometric fusion devices, resulting in improved accuracy and robustness in both biometric authentication and biometric recognition.
摘要翻译： 描述了生物特征样本训练装置，生物特征样本质量评估装置，生物测定融合识别装置，集成生物测定融合识别系统以及其中可以使用每一种的实例过程。 小波和增强分类器用于评估生物特征样本的质量，如面部图像。 所描述的生物特征样本质量评估方法提供对各种降解因素（例如面部图像生物特征样本中的姿态，照明和照明）可靠的质量评估值。 质量评估值允许组合不同样本类型的生物特征样本，以支持例如生物测定融合装置使用的复杂识别技术，从而提高生物特征认证和生物识别识别两者的精度和鲁棒性。
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公开(公告)号：US08452096B2
公开(公告)日：2013-05-28
申请号：US13431198
申请日：2012-03-27
IPC分类号： G06K9/00
CPC分类号： G06K9/4614 , G06K9/4647
摘要： A device and method for processing an image to create appearance and shape labeled images of a person or object captured within the image. The appearance and shape labeled images are unique properties of the person or object and can be used to re-identify the person or object in subsequent images. The appearance labeled image is an aggregate of pre-stored appearance labels that are assigned to image segments of the image based on calculated appearance attributes of each image segment. The shape labeled image is an aggregate of pre-stored shape labels that are assigned to image segments of the image based on calculated shape attributes of each image segment. An identifying descriptor of the person or object can be computed based on both the appearance labeled image and the shape labeled image. The descriptor can be compared with other descriptors of later captured images to re-identify a person or object.
摘要翻译： 一种用于处理图像以创建在图像内捕获的人或物体的标记图像的外观和形状的形状的装置和方法。 标记图像的外观和形状是人或物体的独特属性，可用于在后续图像中重新识别人或物体。 标注图像的外观是根据每个图像段的计算外观属性分配给图像的图像段的预先存储的外观标签的聚合。 形状标记图像是基于每个图像片段的计算形状属性分配给图像的图像片段的预先存储的形状标签的聚合。 可以基于外观标记图像和标记图像的形状来计算人物或物体的识别描述符。 可以将描述符与后面捕获的图像的其他描述符进行比较，以重新识别人或物体。
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4.发明授权Device and method for detecting targets in images based on user-defined classifiers 有权基于用户定义的分类器检测图像中的目标的设备和方法公开(公告)号：US08295543B2
公开(公告)日：2012-10-23
申请号：US12078300
申请日：2008-03-28
CPC分类号： G06K9/6292 , G06K9/3216 , G06K9/6253 , G06K9/6256
摘要： A device and method for detecting targets of interest in an image, such as people or objects of a certain type. Targets are detected based on an optimized strong classifier descriptor that can be based on a combination of weak classifier descriptors. The weak classifier descriptors can include a user-defined weak classifier descriptor that is defined by a user to represent a shape or appearance attribute that is characteristic of parts of the target of interest. The strong classifier descriptor can be optimized by selecting a subset of weak classifier descriptors that exhibit improved performance in detecting targets in training images.
摘要翻译： 一种用于检测图像中的感兴趣对象的装置和方法，诸如某种类型的人或物体。 基于可以基于弱分类器描述符的组合的优化的强分类器描述符来检测目标。 弱分类器描述符可以包括用户定义的弱分类器描述符，其由用户定义以表示作为目标的部分特征的形状或外观属性。 可以通过选择在训练图像中检测目标中表现出改进的性能的弱分类器描述符的子集来优化强分类器描述符。
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5.发明申请Device and method for detecting targets in images based on user-defined classifiers 有权基于用户定义的分类器检测图像中的目标的设备和方法公开(公告)号：US20110051999A1
公开(公告)日：2011-03-03
申请号：US12078300
申请日：2008-03-28
IPC分类号： G06K9/00
CPC分类号： G06K9/6292 , G06K9/3216 , G06K9/6253 , G06K9/6256
摘要： A device and method for detecting targets of interest in an image, such as people or objects of a certain type. Targets are detected based on an optimized strong classifier descriptor that can be based on a combination of weak classifier descriptors. The weak classifier descriptors can include a user-defined weak classifier descriptor that is defined by a user to represent a shape or appearance attribute that is characteristic of parts of the target of interest. The strong classifier descriptor can be optimized by selecting a subset of weak classifier descriptors that exhibit improved performance in detecting targets in training images.
摘要翻译： 一种用于检测图像中的感兴趣对象的装置和方法，诸如某种类型的人或物体。 基于可以基于弱分类器描述符的组合的优化的强分类器描述符来检测目标。 弱分类器描述符可以包括用户定义的弱分类器描述符，其由用户定义以表示作为目标的部分特征的形状或外观属性。 可以通过选择在训练图像中检测目标中表现出改进的性能的弱分类器描述符的子集来优化强分类器描述符。
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公开(公告)号：US08457406B2
公开(公告)日：2013-06-04
申请号：US13430413
申请日：2012-03-26
IPC分类号： G06K9/00
CPC分类号： G06K9/4614 , G06K9/4647
摘要： A device and method for processing an image to create appearance and shape labeled images of a person or object captured within the image. The appearance and shape labeled images are unique properties of the person or object and can be used to re-identify the person or object in subsequent images. The appearance labeled image is an aggregate of pre-stored appearance labels that are assigned to image segments of the image based on calculated appearance attributes of each image segment. The shape labeled image is an aggregate of pre-stored shape labels that are assigned to image segments of the image based on calculated shape attributes of each image segment. An identifying descriptor of the person or object can be computed based on both the appearance labeled image and the shape labeled image. The descriptor can be compared with other descriptors of later captured images to re-identify a person or object.
摘要翻译： 一种用于处理图像以创建在图像内捕获的人或物体的标记图像的外观和形状的形状的装置和方法。 标记图像的外观和形状是人或物体的独特属性，可用于在后续图像中重新识别人或物体。 标注图像的外观是根据每个图像段的计算外观属性分配给图像的图像段的预先存储的外观标签的聚合。 形状标记图像是基于每个图像片段的计算形状属性分配给图像的图像片段的预先存储的形状标签的聚合。 可以基于外观标记图像和标记图像的形状来计算人物或物体的识别描述符。 可以将描述符与后面捕获的图像的其他描述符进行比较，以重新识别人或物体。
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7.发明授权公开(公告)号：US08184915B2
公开(公告)日：2012-05-22
申请号：US11987785
申请日：2007-12-04
IPC分类号： G06K9/62
CPC分类号： G06K9/4614 , G06K9/4647
摘要： A device and method for efficient computation of statistical information, such as a mean, co-variance, or histogram of the image pixels, over discrete image regions. The computation employs integral computations to determine the statistical information over image regions of arbitrary shape, including irregular polygonal shaped regions. The integral computations are simplified by categorizing corner points of boundaries of image regions. The computation can be applied to calculate descriptors or signatures of persons or objects within an image. The computation also has a low computational cost enabling fast calculation of image statistics.
摘要翻译： 用于在离散图像区域上有效计算统计信息的装置和方法，诸如图像像素的平均值，协方差或直方图。 该计算采用积分计算来确定任意形状的图像区域上的统计信息，包括不规则多边形区域。 通过对图像区域的边界的角点进行分类来简化积分计算。 该计算可以应用于计算图像中人或物体的描述符或签名。 该计算也具有较低的计算成本，能够快速计算图像统计。
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公开(公告)号：US20090034791A1
公开(公告)日：2009-02-05
申请号：US11987777
申请日：2007-12-04
CPC分类号： G06K9/4614 , G06K9/4647
摘要： A device and method for processing an image to create appearance and shape labeled images of a person or object captured within the image. The appearance and shape labeled images are unique properties of the person or object and can be used to re-identify the person or object in subsequent images. The appearance labeled image is an aggregate of pre-stored appearance labels that are assigned to image segments of the image based on calculated appearance attributes of each image segment. The shape labeled image is an aggregate of pre-stored shape labels that are assigned to image segments of the image based on calculated shape attributes of each image segment. An identifying descriptor of the person or object can be computed based on both the appearance labeled image and the shape labeled image. The descriptor can be compared with other descriptors of later captured images to re-identify a person or object.
摘要翻译： 一种用于处理图像以创建在图像内捕获的人或物体的标记图像的外观和形状的形状的装置和方法。 标记图像的外观和形状是人或物体的独特属性，可用于在后续图像中重新识别人或物体。 标注图像的外观是根据每个图像段的计算外观属性分配给图像的图像段的预先存储的外观标签的聚合。 形状标记图像是基于每个图像片段的计算形状属性分配给图像的图像片段的预先存储的形状标签的聚合。 可以基于外观标记图像和标记图像的形状来计算人物或物体的识别描述符。 可以将描述符与后面捕获的图像的其他描述符进行比较，以重新识别人或物体。
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9.发明申请公开(公告)号：US20080187220A1
公开(公告)日：2008-08-07
申请号：US11987785
申请日：2007-12-04
IPC分类号： G06K9/34
CPC分类号： G06K9/4614 , G06K9/4647
摘要： A device and method for efficient computation of statistical information, such as a mean, co-variance, or histogram of the image pixels, over discrete image regions. The computation employs integral computations to determine the statistical information over image regions of arbitrary shape, including irregular polygonal shaped regions. The integral computations are simplified by categorizing corner points of boundaries of image regions. The computation can be applied to calculate descriptors or signatures of persons or objects within an image. The computation also has a low computational cost enabling fast calculation of image statistics.
摘要翻译： 用于在离散图像区域上有效计算统计信息的装置和方法，诸如图像像素的平均值，协方差或直方图。 该计算采用积分计算来确定任意形状的图像区域上的统计信息，包括不规则多边形区域。 通过对图像区域的边界的角点进行分类来简化积分计算。 该计算可以应用于计算图像中人或物体的描述符或签名。 该计算也具有较低的计算成本，能够快速计算图像统计。
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10.发明授权公开(公告)号：US08442279B2
公开(公告)日：2013-05-14
申请号：US12457959
申请日：2009-06-26
申请人： Weizhong Yan , Frederick W Wheeler , Peter H Tu , Xiaoming Liu
发明人： Weizhong Yan , Frederick W Wheeler , Peter H Tu , Xiaoming Liu
IPC分类号： G06K9/00
CPC分类号： G07C9/00158 , G06K9/00268 , G06K9/036 , G06K9/6255
摘要： A biometric sample training device, a biometric sample quality assessment device, a biometric fusion recognition device, an integrated biometric fusion recognition system and example processes in which each may be used are described. Wavelets and a boosted classifier are used to assess the quality of biometric samples, such as facial images. The described biometric sample quality assessment approach provides accurate and reliable quality assessment values that are robust to various degradation factors, e.g., such as pose, illumination, and lighting in facial image biometric samples. The quality assessment values allow biometric samples of different sample types to be combined to support complex recognition techniques used by, for example, biometric fusion devices, resulting in improved accuracy and robustness in both biometric authentication and biometric recognition.
摘要翻译： 描述了生物特征样本训练装置，生物特征样本质量评估装置，生物测定融合识别装置，集成生物测定融合识别系统以及其中可以使用每一种的实例过程。 小波和增强分类器用于评估生物特征样本的质量，如面部图像。 所描述的生物特征样本质量评估方法提供对各种降解因素（例如面部图像生物特征样本中的姿态，照明和照明）可靠的质量评估值。 质量评估值允许组合不同样本类型的生物特征样本，以支持例如生物测定融合装置使用的复杂识别技术，从而提高生物特征认证和生物识别识别两者的精度和鲁棒性。
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