公开(公告)号：US20120243779A1

公开(公告)日：2012-09-27

申请号：US13420833

申请日：2012-03-15

申请人： Tomohiro Nakai ,  Toshimitsu Kaneko ,  Susumu Kubota ,  Satoshi Ito ,  Tatsuo Kozakaya

发明人： Tomohiro Nakai ,  Toshimitsu Kaneko ,  Susumu Kubota ,  Satoshi Ito ,  Tatsuo Kozakaya

IPC分类号： G06K9/62

CPC分类号： G06K9/6256 ,  G06K9/00 ,  G06K9/6262 ,  G06K2209/17

摘要： According to an embodiment, a recognition device includes a generation unit to select, plural times, groups each including learning samples from a storage unit, learn a classification metric for classifying the groups selected in each selection, and generate an evaluation metric including the classification metrics; a transformation unit to transform a first feature value of an image including an object into a second feature value using the evaluation metric; a calculation unit to calculate similarities of the object to categories in a table using the second feature value and reference feature values; and a registration unit to register the second feature value as the reference feature value in the table associated with the category of the object and register the first feature value as the learning sample belonging to the category of the object in the storage unit. The generation unit performs the generation again.

摘要翻译： 根据实施例，识别装置包括生成单元，用于多次选择包括来自存储单元的学习样本的组，学习用于对在每个选择中选择的组进行分类的分类度量，并生成包括分类度量的评估度量 ; 变换单元，使用所述评估度量将包括对象的图像的第一特征值变换为第二特征值; 计算单元，用于使用第二特征值和参考特征值来计算表中的对象与类别的相似度; 以及注册单元，用于将所述第二特征值注册为与所述对象的类别相关联的表中的参考特征值，并将所述第一特征值注册为属于所述存储单元中的对象的类别的学习样本。 生成单元再次执行生成。

公开(公告)号：US09002101B2

公开(公告)日：2015-04-07

申请号：US13420833

申请日：2012-03-15

申请人： Tomohiro Nakai ,  Toshimitsu Kaneko ,  Susumu Kubota ,  Satoshi Ito ,  Tatsuo Kozakaya

发明人： Tomohiro Nakai ,  Toshimitsu Kaneko ,  Susumu Kubota ,  Satoshi Ito ,  Tatsuo Kozakaya

IPC分类号： G06K9/00 ,  G06K9/62

CPC分类号： G06K9/6256 ,  G06K9/00 ,  G06K9/6262 ,  G06K2209/17

摘要： According to an embodiment, a recognition device includes a generation unit to select, plural times, groups each including learning samples from a storage unit, learn a classification metric for classifying the groups selected in each selection, and generate an evaluation metric including the classification metrics; a transformation unit to transform a first feature value of an image including an object into a second feature value using the evaluation metric; a calculation unit to calculate similarities of the object to categories in a table using the second feature value and reference feature values; and a registration unit to register the second feature value as the reference feature value in the table associated with the category of the object and register the first feature value as the learning sample belonging to the category of the object in the storage unit. The generation unit performs the generation again.

摘要翻译： 根据实施例，识别装置包括生成单元，用于多次选择包括来自存储单元的学习样本的组，学习用于对在每个选择中选择的组进行分类的分类度量，并生成包括分类度量的评估度量 ; 变换单元，使用所述评估度量将包括对象的图像的第一特征值变换为第二特征值; 计算单元，用于使用第二特征值和参考特征值来计算表中的对象与类别的相似度; 以及注册单元，用于将所述第二特征值注册为与所述对象的类别相关联的表中的参考特征值，并将所述第一特征值注册为属于所述存储单元中的对象的类别的学习样本。 生成单元再次执行生成。

公开(公告)号：US08036497B2

公开(公告)日：2011-10-11

申请号：US11885567

申请日：2006-02-15

申请人： Koichi Kise ,  Tomohiro Nakai ,  Masakazu Iwamura

发明人： Koichi Kise ,  Tomohiro Nakai ,  Masakazu Iwamura

IPC分类号： G06K9/60 ,  G06F17/30

CPC分类号： G06F17/30247 ,  G06K9/00442 ,  G06K9/00483

摘要： A document/image retrieval method for retrieving a document/image corresponding to a captured digital image from a database by comparing features calculated based on feature points of the captured digital image with features preliminarily calculated based on feature points of each of documents and/or images stored in the database, the method comprising: extracting the feature points from the captured digital image; defining a local set of feature points for each of the extracted feature points; selecting feature points from the defined local set to define a feature point subset of the local set; determining invariant values as values characterizing the defined subset for combinations of the feature points in the subset, the invariant values being invariant to a geometric transformation; calculating a feature by combining the determined invariant values; and performing a voting process on the documents and/or images in the database based on the preliminarily calculated features of the documents and/or images; whereby the document/image corresponding to the captured digital image is retrieved from the database.

摘要翻译： 一种文档/图像检索方法，用于通过将基于所捕获的数字图像的特征点计算的特征与基于每个文档和/或图像的特征点预先计算的特征进行比较，从数据库中检索与捕获的数字图像相对应的文档/图像 存储在数据库中，该方法包括：从捕获的数字图像中提取特征点; 为每个提取的特征点定义一组局部特征点; 从定义的本地集合中选择特征点以定义本地集合的特征点子集; 将不变值确定为表征所述子集中特征点的组合的所定义子集的值，所述不变值对于几何变换是不变的; 通过组合确定的不变值来计算特征; 并且基于所述文档和/或图像的预先计算的特征，对所述数据库中的文档和/或图像执行投票处理; 从而从数据库中检索对应于所捕获的数字图像的文档/图像。

公开(公告)号：US20080177764A1

公开(公告)日：2008-07-24

申请号：US11885567

申请日：2006-02-15

申请人： Koichi Kise ,  Tomohiro Nakai ,  Masakazu Iwamura

发明人： Koichi Kise ,  Tomohiro Nakai ,  Masakazu Iwamura

IPC分类号： G06F17/30

CPC分类号： G06F17/30247 ,  G06K9/00442 ,  G06K9/00483

摘要： A document/image retrieval method for retrieving a document/image corresponding to a captured digital image from a database by comparing features calculated based on feature points of the captured digital image with features preliminarily calculated based on feature points of each of documents and/or images stored in the database, the method comprising: extracting the feature points from the captured digital image; defining a local set of feature points for each of the extracted feature points; selecting feature points from the defined local set to define a feature point subset of the local set; determining invariant values as values characterizing the defined subset for combinations of the feature points in the subset, the invariant values being invariant to a geometric transformation; calculating a feature by combining the determined invariant values; and performing a voting process on the documents and/or images in the database based on the preliminarily calculated features of the documents and/or images; whereby the document/image corresponding to the captured digital image is retrieved from the database.

摘要翻译： 一种文档/图像检索方法，用于通过将基于所捕获的数字图像的特征点计算的特征与基于每个文档和/或图像的特征点预先计算的特征进行比较，从数据库中检索与捕获的数字图像相对应的文档/图像 存储在数据库中，该方法包括：从捕获的数字图像中提取特征点; 为每个提取的特征点定义一组局部特征点; 从定义的本地集合中选择特征点以定义本地集合的特征点子集; 将不变值确定为表征所述子集中特征点的组合的所定义子集的值，所述不变值对于几何变换是不变的; 通过组合确定的不变值来计算特征; 并且基于所述文档和/或图像的预先计算的特征，对所述数据库中的文档和/或图像执行投票处理; 从而从数据库中检索对应于所捕获的数字图像的文档/图像。