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1. 发明申请

US20150261992A1 HAND-BASED BIOMETRIC ANALYSIS 审中-公开
标题翻译：基于手性生物分析
公开(公告)号：US20150261992A1
公开(公告)日：2015-09-17
申请号：US14673593
申请日：2015-03-30
申请人： George Bebis , Gholamreza Amayeh
发明人： George Bebis , Gholamreza Amayeh
IPC分类号： G06K9/00
CPC分类号： G06K9/00067 , G06K9/00087 , G06K9/00375
摘要： Hand-based biometric analysis systems and techniques are described which provide robust hand-based identification and verification. An image of a hand is obtained, which is then segmented into a palm region and separate finger regions. Acquisition of the image is performed without requiring particular orientation or placement restrictions. Segmentation is performed without the use of reference points on the images. Each segment is analyzed by calculating a set of Zernike moment descriptors for the segment. The feature parameters thus obtained are then fused and compared to stored sets of descriptors in enrollment templates to arrive at an identity decision. By using Zernike moments, and through additional manipulation, the biometric analysis is invariant to rotation, scale, or translation or an in put image. Additionally, the analysis utilizes re-use of commonly-seen terms in Zernike calculations to achieve additional efficiencies over traditional Zernike moment calculation.
摘要翻译：描述了基于手工的生物特征分析系统和技术，其提供可靠的基于手的识别和验证。获得手的图像，然后将其分割成手掌区域和分离的手指区域。执行图像的获取而不需要特定的取向或放置限制。在不使用图像上的参考点的情况下执行分割。通过计算该段的Zernike矩描述符来分析每个段。然后将如此获得的特征参数进行融合，并将其与存储的注册模板中的描述符集进行比较以获得身份决定。通过使用泽尼克时间，并通过额外的操纵，生物特征分析是不变的旋转，缩放或翻译或放置图像。此外，分析利用Zernike计算中常用术语的重用，以达到比传统Zernike矩计算更高的效率。

2. 发明授权

US09042606B2 Hand-based biometric analysis 有权
标题翻译：手工生物识别分析
公开(公告)号：US09042606B2
公开(公告)日：2015-05-26
申请号：US11820474
申请日：2007-06-18
申请人： George Bebis , Gholamreza Amayeh
发明人： George Bebis , Gholamreza Amayeh
IPC分类号： G06K9/00 , G06K9/34
CPC分类号： G06K9/00067 , G06K9/00087 , G06K9/00375
摘要： Hand-based biometric analysis systems and techniques are described which provide robust hand-based identification and verification. An image of a hand is obtained, which is then segmented into a palm region and separate finger regions. Acquisition of the image is performed without requiring particular orientation or placement restrictions. Segmentation is performed without the use of reference points on the images. Each segment is analyzed by calculating a set of Zernike moment descriptors for the segment. The feature parameters thus obtained are then fused and compared to stored sets of descriptors in enrollment templates to arrive at an identity decision. By using Zernike moments, and through additional manipulation, the biometric analysis is invariant to rotation, scale, or translation or an in put image. Additionally, the analysis utilizes re-use of commonly-seen terms in Zernike calculations to achieve additional efficiencies over traditional Zernike moment calculation.
摘要翻译：描述了基于手工的生物特征分析系统和技术，其提供可靠的基于手的识别和验证。获得手的图像，然后将其分割成手掌区域和分离的手指区域。执行图像的获取而不需要特定的取向或放置限制。在不使用图像上的参考点的情况下执行分割。通过计算该段的Zernike矩描述符来分析每个段。然后将如此获得的特征参数进行融合，并将其与存储的注册模板中的描述符集进行比较以获得身份决定。通过使用泽尼克时间，并通过额外的操纵，生物特征分析是不变的旋转，缩放或翻译或放置图像。此外，分析利用Zernike计算中常用术语的重用，以达到比传统Zernike矩计算更高的效率。

3. 发明申请

US20100322486A1 HAND-BASED GENDER CLASSIFICATION 有权
标题翻译：手工分类
公开(公告)号：US20100322486A1
公开(公告)日：2010-12-23
申请号：US12821948
申请日：2010-06-23
申请人： George Bebis , Gholamreza Amayeh
发明人： George Bebis , Gholamreza Amayeh
IPC分类号： G06K9/00
CPC分类号： G06K9/00375 , G06K9/6292
摘要： For each of at least one digitally-imaged hand part, where each of the at least one digitally-imaged hand part corresponds to one of a plurality of hand parts, a set of feature parameters representing a geometry of the digitally-imaged hand part is computed. The set(s) of feature parameters for a set of one or more of the digitally-imaged hand parts is/are used to compute distances of the set of digitally-imaged hand parts from each of i) a first eigenspace corresponding to a male class, and ii) a second eigenspace corresponding to a female class. The computed distances are used to classify the gender of a hand as belonging to the male class or the female class.
摘要翻译：对于至少一个数字成像的手部分中的每一个，其中至少一个数字成像的手部分中的每一个对应于多个手部部分之一，表示数字成像的手部的几何形状的一组特征参数是计算。用于一组或多个数字成像的手部件的一组或多组特征参数用于计算与i相对应的第一本征空间中的每一个的数字成像手部组的距离课程，以及ii）对应于女性班级的第二特征空间。计算的距离用于将手的性别归为属于男性或女性的类别。

4. 发明授权

US08655084B2 Hand-based gender classification 有权
标题翻译：基于手的性别分类
公开(公告)号：US08655084B2
公开(公告)日：2014-02-18
申请号：US12821948
申请日：2010-06-23
申请人： George Bebis , Gholamreza Amayeh
发明人： George Bebis , Gholamreza Amayeh
IPC分类号： G06K9/62
CPC分类号： G06K9/00375 , G06K9/6292
摘要： For each of at least one digitally-imaged hand part, where each of the at least one digitally-imaged hand part corresponds to one of a plurality of hand parts, a set of feature parameters representing a geometry of the digitally-imaged hand part is computed. The set(s) of feature parameters for a set of one or more of the digitally-imaged hand parts is/are used to compute distances of the set of digitally-imaged hand parts from each of i) a first eigenspace corresponding to a male class, and ii) a second eigenspace corresponding to a female class. The computed distances are used to classify the gender of a hand as belonging to the male class or the female class.
摘要翻译：对于至少一个数字成像的手部分中的每一个，其中至少一个数字成像的手部分中的每一个对应于多个手部部分之一，表示数字成像的手部的几何形状的一组特征参数是计算。用于一组或多个数字成像的手部件的一组或多组特征参数用于计算与i相对应的第一本征空间中的每一个的数字成像手部组的距离课程，以及ii）对应于女性班级的第二特征空间。计算的距离用于将手的性别归为属于男性或女性的类别。

5. 发明申请

US20150092980A1 TRACKING PROGRAM AND METHOD 审中-公开
标题翻译：跟踪程序和方法
公开(公告)号：US20150092980A1
公开(公告)日：2015-04-02
申请号：US14120418
申请日：2013-08-23
申请人： Eelke Folmer , George Bebis , Jeff Angermann
发明人： Eelke Folmer , George Bebis , Jeff Angermann
IPC分类号： A61B5/00 , A61B5/11 , G06T7/20
CPC分类号： A61B5/4866 , A61B5/1118 , A61B5/1128 , G06K9/00248 , G06K9/00342 , G06T7/246 , G06T2207/10016 , G06T2207/30221
摘要： In one embodiment, the present disclosure provides a computer implemented method of determining energy expenditure associated with a user's movement. A plurality of video images of a subject are obtained. From the plurality of video images, a first location is determined of a first joint of the subject at a first time. From the plurality of video images, a second location is determined of the first joint of the subject at a second time. The movement of the first joint of the subject between the first and second location is associated with an energy associated with the movement.
摘要翻译：在一个实施例中，本公开提供了一种用于确定与用户的运动相关联的能量消耗的计算机实现的方法。获得对象的多个视频图像。从多个视频图像中，在第一时间确定对象的第一关节的第一位置。从多个视频图像中，在第二时间确定对象的第一关节的第二位置。在第一和第二位置之间的被摄体的第一关节的运动与与运动相关联的能量相关联。

6. 发明申请

US20140307927A1 TRACKING PROGRAM AND METHOD 审中-公开
标题翻译：跟踪程序和方法
公开(公告)号：US20140307927A1
公开(公告)日：2014-10-16
申请号：US14314654
申请日：2014-06-25
申请人： Eelke Folmer , George Bebis , Jeffrey Angermann
发明人： Eelke Folmer , George Bebis , Jeffrey Angermann
IPC分类号： G06K9/00
CPC分类号： A61B5/0059 , A61B5/1114 , A61B5/1118 , A61B5/1123 , A61B5/4528 , A61B5/4866 , A61B5/7267 , A61B5/7275 , A61B2562/0219 , A61B2576/00
摘要： In one embodiment, the present disclosure provides a computer implemented method of determining energy expenditure associated with a user's movement. A plurality of video images of a subject are obtained. From the plurality of video images, a first location is determined of a first joint of the subject at a first time. From the plurality of video images, a second location is determined of the first joint of the subject at a second time. The movement of the first joint of the subject between the first and second location is associated with an energy associated with the movement.
摘要翻译：在一个实施例中，本公开提供了一种用于确定与用户的运动相关联的能量消耗的计算机实现的方法。获得对象的多个视频图像。从多个视频图像中，在第一时间确定对象的第一关节的第一位置。从多个视频图像中，在第二时间确定对象的第一关节的第二位置。在第一和第二位置之间的被摄体的第一关节的运动与与运动相关联的能量相关联。

7. 发明申请

US20100080425A1 Minutiae-based template synthesis and matching 审中-公开
标题翻译：基于Minutiae的模板合成和匹配
公开(公告)号：US20100080425A1
公开(公告)日：2010-04-01
申请号：US12586926
申请日：2009-09-29
申请人： George Bebis , Tamer Uz , Ali Erol
发明人： George Bebis , Tamer Uz , Ali Erol
IPC分类号： G06K9/00
CPC分类号： G06K9/00073 , G06K9/00093 , G06K9/036
摘要： A method of determining a match between a candidate template and a super-template involves using the super-template to identify i) spatial coordinates for a plurality of minutiae that define an object, and ii) a quality associated with each minutiae. For sets of the super-template minutiae having at least two defined minutiae qualities, at least one Delaunay triangle is computed for each set. A match between the candidate template and the super-template is determined by determining a correspondence of Delaunay triangles in the candidate and super-templates, which correspondence results in an alignment of at least some minutiae of the candidate template with at least some minutiae of the super-template. Related methods, articles and apparatus are also disclosed.
摘要翻译：确定候选模板和超模板之间的匹配的方法涉及使用超模板来识别定义对象的多个细节的空间坐标，以及ii）与每个细节相关联的质量。对于具有至少两个定义的细节质量的超模板细节的集合，对于每个集合计算至少一个Delaunay三角形。候选模板和超模板之间的匹配通过确定候选模板和超模板中的德劳内三角形的对应关系来确定，该对应结果使候选模板的至少一些细节与至少一些细节的细节超级模板还公开了相关方法，物品和装置。

8. 发明申请

US20100021014A1 Hand-based biometric analysis 有权
标题翻译：手工生物识别分析
公开(公告)号：US20100021014A1
公开(公告)日：2010-01-28
申请号：US11820474
申请日：2007-06-18
申请人： George Bebis
发明人： George Bebis
IPC分类号： G06K9/00
CPC分类号： G06K9/00067 , G06K9/00087 , G06K9/00375
摘要： Hand-based biometric analysis systems and techniques are described which provide robust hand-based identification and verification. An image of a hand is obtained, which is then segmented into a palm region and separate finger regions. Acquisition of the image is performed without requiring particular orientation or placement restrictions. Segmentation is performed without the use of reference points on the images. Each segment is analyzed by calculating a set of Zernike moment descriptors for the segment. The feature parameters thus obtained are then fused and compared to stored sets of descriptors in enrollment templates to arrive at an identity decision. By using Zernike moments, and through additional manipulation, the biometric analysis is invariant to rotation, scale, or translation or an in put image. Additionally, the analysis utilizes re-use of commonly-seen terms in Zernike calculations to achieve additional efficiencies over traditional Zernike moment calculation.
摘要翻译：描述了基于手工的生物特征分析系统和技术，其提供可靠的基于手的识别和验证。获得手的图像，然后将其分割成手掌区域和分离的手指区域。执行图像的获取而不需要特定的取向或放置限制。在不使用图像上的参考点的情况下执行分割。通过计算该段的Zernike矩描述符来分析每个段。然后将如此获得的特征参数进行融合，并将其与存储的注册模板中的描述符集进行比较以获得身份决定。通过使用泽尼克时间，并通过额外的操纵，生物特征分析是不变的旋转，缩放或翻译或放置图像。此外，分析利用Zernike计算中常用术语的重用，以达到比传统Zernike矩计算更高的效率。

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