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1. 发明申请

US20090157707A1 PATTERN IDENTIFICATION UNIT GENERATION METHOD, INFORMATION PROCESSING APPARATUS, COMPUTER PROGRAM, AND STORAGE MEDIUM 有权
标题翻译：模式识别单元生成方法，信息处理装置，计算机程序和存储介质
公开(公告)号：US20090157707A1
公开(公告)日：2009-06-18
申请号：US12330514
申请日：2008-12-09
申请人： Yoshinori Ito , Masami Kato , Takahisa Yamamoto , Katsuhiko Mori , Osamu Nomura
发明人： Yoshinori Ito , Masami Kato , Takahisa Yamamoto , Katsuhiko Mori , Osamu Nomura
IPC分类号： G06F17/30
CPC分类号： G06K9/6256 , G06K9/00973
摘要： A pattern identification unit generation method of generating a pattern identification unit in which a weak discriminator array obtained by cascade-connecting a plurality of weak discriminators branches, and weak discriminator arrays are connected to respective arms after branching, evaluates based on a processing result obtained by inputting a set of evaluation data to the weak discriminator array whether or not a weak discriminator array after branching reaches the number of stages to be connected. The number of stages of weak discriminators to be connected without branching as the weak discriminator array is determined based on this evaluation result.
摘要翻译：一种图案识别单元产生方法，其产生一个模式识别单元，其中通过级联连接多个弱鉴别器分支而获得的弱鉴别器阵列和弱鉴别器阵列在分支之后连接到相应的臂，根据由向微弱鉴别器阵列输入一组评估数据，判断分支后的弱鉴别器阵列是否达到要连接的级数。基于该评估结果确定要连接无分支的弱鉴别器的级数作为弱鉴别器阵列的级数。

2. 发明授权

US09256835B2 Information processing apparatus enabling discriminator to learn and method thereof 有权
标题翻译：使鉴别器学习的信息处理装置及其方法
公开(公告)号：US09256835B2
公开(公告)日：2016-02-09
申请号：US12683982
申请日：2010-01-07
申请人： Yoshinori Ito , Katsuhiko Mori , Takahisa Yamamoto , Osamu Nomura , Masami Kato
发明人： Yoshinori Ito , Katsuhiko Mori , Takahisa Yamamoto , Osamu Nomura , Masami Kato
IPC分类号： G06F15/18 , G06N99/00 , G06K9/00 , G06K9/62
CPC分类号： G06N99/005 , G06K9/00248 , G06K9/6257
摘要： An information processing apparatus and method enables a pattern discriminator to learn. The apparatus establishes a branch structure appropriate for learning a discriminator having the branch structure without increasing processing time. The apparatus includes a preliminary learning unit to learn a preliminary discriminator for a respective one of a plurality of combinations of variations in variation categories in a discrimination target pattern. A branch structure determination unit is provided to perform discrimination processing using the preliminary discriminator and to determine a branch structure of a main discriminator based on a result of the discrimination processing. A main learning unit is included to learn the main discriminator based on the branch structure.
摘要翻译：信息处理装置和方法使图案鉴别器能够学习。该装置建立适于在不增加处理时间的情况下学习具有分支结构的鉴别器的分支结构。该装置包括初步学习单元，用于在鉴别目标图形中学习变化类别的变化的多个组合中的相应一个的初步鉴别器。分支结构确定单元被提供以使用初步鉴别器执行鉴别处理，并且基于鉴别处理的结果来确定主鉴别器的分支结构。包括一个主要学习单元，以学习基于分支结构的主要鉴别器。

3. 发明授权

US08472721B2 Pattern identification unit generation method, information processing apparatus, computer program, and storage medium 有权
标题翻译：模式识别单元生成方法，信息处理装置，计算机程序和存储介质
公开(公告)号：US08472721B2
公开(公告)日：2013-06-25
申请号：US12330514
申请日：2008-12-09
申请人： Yoshinori Ito , Masami Kato , Takahisa Yamamoto , Katsuhiko Mori , Osamu Nomura
发明人： Yoshinori Ito , Masami Kato , Takahisa Yamamoto , Katsuhiko Mori , Osamu Nomura
IPC分类号： G06K9/00 , G06K9/62
CPC分类号： G06K9/6256 , G06K9/00973
摘要： A pattern identification unit generation method of generating a pattern identification unit in which a weak discriminator array obtained by cascade-connecting a plurality of weak discriminators branches, and weak discriminator arrays are connected to respective arms after branching, evaluates based on a processing result obtained by inputting a set of evaluation data to the weak discriminator array whether or not a weak discriminator array after branching reaches the number of stages to be connected. The number of stages of weak discriminators to be connected without branching as the weak discriminator array is determined based on this evaluation result.
摘要翻译：一种图案识别单元产生方法，其产生一个模式识别单元，其中通过级联连接多个弱鉴别器分支而获得的弱鉴别器阵列和弱鉴别器阵列在分支之后连接到相应的臂，根据由向微弱鉴别器阵列输入一组评估数据，判断分支后的弱鉴别器阵列是否达到要连接的级数。基于该评估结果确定要连接无分支的弱鉴别器的级数作为弱鉴别器阵列的级数。

4. 发明申请

US20110010317A1 INFORMATION PROCESSING APPARATUS ENABLING DISCRIMINATOR TO LEARN AND METHOD THEREOF 有权
标题翻译：信息处理设备使得辨识者了解其方法
公开(公告)号：US20110010317A1
公开(公告)日：2011-01-13
申请号：US12683982
申请日：2010-01-07
申请人： Yoshinori Ito , Katsuhiko Mori , Takahisa Yamamoto , Osamu Nomura , Masami Kato
发明人： Yoshinori Ito , Katsuhiko Mori , Takahisa Yamamoto , Osamu Nomura , Masami Kato
IPC分类号： G06F15/18
CPC分类号： G06N99/005 , G06K9/00248 , G06K9/6257
摘要： An information processing apparatus includes a preliminary learning unit configured to learn a preliminary discriminator for a respective one of a plurality of combinations of variations in variation categories in a discrimination target pattern, a branch structure determination unit configured to perform discrimination processing using the preliminary discriminator and to determine a branch structure of a main discriminator based on a result of the discrimination processing, and a main learning unit configured to learn the main discriminator based on the branch structure.
摘要翻译：一种信息处理设备，包括：初步学习单元，被配置为在鉴别目标图形中学习变化类别的变化的多个组合的各自的初步鉴别器;分支结构确定单元，被配置为使用所述初步鉴别器进行鉴别处理;以及基于鉴别处理的结果来确定主鉴别器的分支结构，以及主学习单元，被配置为基于分支结构学习主鉴别器。

5. 发明授权

US08401313B2 Image processing apparatus and image processing method 有权
标题翻译：图像处理装置和图像处理方法
公开(公告)号：US08401313B2
公开(公告)日：2013-03-19
申请号：US12262052
申请日：2008-10-30
申请人： Takahisa Yamamoto , Masami Kato , Yoshinori Ito , Katsuhiko Mori
发明人： Takahisa Yamamoto , Masami Kato , Yoshinori Ito , Katsuhiko Mori
IPC分类号： G06K9/68 , G06K9/70
CPC分类号： G06K9/00228 , G06K9/6256 , G06K9/6282
摘要： An image processing method is provided for an image processing apparatus which executes processing by allocating a plurality of weak discriminators to form a tree structure having branches corresponding to types of objects so as to detect objects included in image data. Each weak discriminator calculates a feature amount to be used in a calculation of an evaluation value of the image data, and discriminates whether or not the object is included in the image data by using the evaluation value. The weak discriminator allocated to a branch point in the tree structure further selects a branch destination using at least some of the feature amounts calculated by weak discriminators included in each branch destination.
摘要翻译：为图像处理装置提供一种图像处理方法，该图像处理装置通过分配多个弱鉴别器来形成具有与对象类型相对应的分支的树结构，从而检测包括在图像数据中的对象来执行处理。每个弱识别器计算要在图像数据的评估值的计算中使用的特征量，并且通过使用评估值来区分对象是否包括在图像数据中。分配给树结构中的分支点的弱鉴别器还使用由每个分支目的地中包括的弱鉴别器计算的特征量中的至少一些特征量来选择分支目的地。

6. 发明申请

US20110081089A1 PATTERN PROCESSING APPARATUS AND METHOD, AND PROGRAM 有权
标题翻译：图案处理装置及方法及程序
公开(公告)号：US20110081089A1
公开(公告)日：2011-04-07
申请号：US12963568
申请日：2010-12-08
申请人： Katsuhiko Mori , Masami Kato , Yoshinori Ito , Takahisa Yamamoto
发明人： Katsuhiko Mori , Masami Kato , Yoshinori Ito , Takahisa Yamamoto
IPC分类号： G06K9/68
CPC分类号： G06K9/00281
摘要： Even when a local area is varied, degradation in recognition accuracy and detection accuracy is suppressed. To that end, a pattern processing apparatus includes a reference local area setting portion 1802 for setting a reference local area based on the detection result of a feature point by a face organ feature point detecting portion 101, a varied local area generating portion 1803 for generating a plurality of varied local area patterns by referring to an image area near the reference local area, a similarity calculating portion 106 for calculating similarities in the reference local areas and in the varied local area patterns between the input pattern and the registered pattern, a representative similarity calculating portion 107 for calculating representative similarity from among the similarities, and a classifying portion 109 for determining a class to which the input pattern belongs.
摘要翻译：即使局部区域变化，也能够抑制识别精度和检测精度的劣化。为此，图案处理装置包括：基准局部区域设定部1802，用于基于面部特征点检测部101的特征点的检测结果来设定基准局部区域;变化的局部区域生成部1803，通过参考参考局部区域附近的图像区域的多个变化的局部区域图案，计算参考局部区域和输入图案与登记图案之间的变化的局部区域图案中的相似度的相似度计算部分106，相似度计算部分107，用于从相似度中计算代表性相似度;以及分类部分109，用于确定输入模式所属的类别。

7. 发明授权

US08385649B2 Information processing apparatus and method for detecting object in image data 有权
标题翻译：用于检测图像数据中的对象的信息处理装置和方法
公开(公告)号：US08385649B2
公开(公告)日：2013-02-26
申请号：US12765190
申请日：2010-04-22
申请人： Masami Kato , Yoshinori Ito , Osamu Nomura , Takahisa Yamamoto
发明人： Masami Kato , Yoshinori Ito , Osamu Nomura , Takahisa Yamamoto
IPC分类号： G06K9/62
CPC分类号： G06K9/6257 , G06K9/00986 , G06K9/4604 , G06K9/4614
摘要： Learning is sequentially executed with respect to weak discriminators based on learning data held in a storage device. Upon learning, an evaluation value for the weak discriminator is calculated. It is discriminated, based on a shift of the evaluation value, whether or not the learning is overlearning. If it is discriminated that the learning is overlearning, new learning data is added. Thus, the overlearning is easily detected and the learning is efficiently executed.
摘要翻译：基于保存在存储装置中的学习数据，相对于弱识别器依次执行学习。在学习时，计算弱鉴别器的评估值。基于评估值的转移，是否对学习过度学习进行歧视。如果歧视学习过度学习，则添加新的学习数据。因此，容易检测到过度学习，并且有效地执行学习。

8. 发明申请

US20100272351A1 INFORMATION PROCESSING APPARATUS AND METHOD FOR DETECTING OBJECT IN IMAGE DATA 有权
标题翻译：用于检测图像数据中的对象的信息处理装置和方法
公开(公告)号：US20100272351A1
公开(公告)日：2010-10-28
申请号：US12765190
申请日：2010-04-22
申请人： Masami Kato , Yoshinori Ito , Osamu Nomura , Takahisa Yamamoto
发明人： Masami Kato , Yoshinori Ito , Osamu Nomura , Takahisa Yamamoto
IPC分类号： G06K9/62
CPC分类号： G06K9/6257 , G06K9/00986 , G06K9/4604 , G06K9/4614
摘要： Learning is sequentially executed with respect to weak discriminators based on learning data held in a storage device. Upon learning, an evaluation value for the weak discriminator is calculated. It is discriminated, based on a shift of the evaluation value, whether or not the learning is overlearning. If it is discriminated that the learning is overlearning, new learning data is added. Thus, the overlearning is easily detected and the learning is efficiently executed.
摘要翻译：基于保存在存储装置中的学习数据，相对于弱识别器依次执行学习。在学习时，计算弱鉴别器的评估值。基于评估值的转移，是否对学习过度学习进行歧视。如果歧视学习过度学习，则添加新的学习数据。因此，容易检测到过度学习，并且有效地执行学习。

9. 发明申请

US20090116693A1 IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD 有权
标题翻译：图像处理装置和图像处理方法
公开(公告)号：US20090116693A1
公开(公告)日：2009-05-07
申请号：US12262052
申请日：2008-10-30
申请人： Takahisa Yamamoto , Masami Kato , Yoshinori Ito , Katsuhiko Mori
发明人： Takahisa Yamamoto , Masami Kato , Yoshinori Ito , Katsuhiko Mori
IPC分类号： G06K9/00
CPC分类号： G06K9/00228 , G06K9/6256 , G06K9/6282
摘要： An image processing method is provided for an image processing apparatus which executes processing by allocating a plurality of weak discriminators to form a tree structure having branches corresponding to types of objects so as to detect objects included in image data. Each weak discriminator calculates a feature amount to be used in a calculation of an evaluation value of the image data, and discriminates whether or not the object is included in the image data by using the evaluation value. The weak discriminator allocated to a branch point in the tree structure further selects a branch destination using at least some of the feature amounts calculated by weak discriminators included in each branch destination.
摘要翻译：为图像处理装置提供一种图像处理方法，该图像处理装置通过分配多个弱鉴别器来形成具有与对象类型相对应的分支的树结构，从而检测包括在图像数据中的对象来执行处理。每个弱识别器计算要在图像数据的评估值的计算中使用的特征量，并且通过使用评估值来区分对象是否包括在图像数据中。分配给树结构中的分支点的弱鉴别器还使用由每个分支目的地中包括的弱鉴别器计算的特征量中的至少一些特征量来选择分支目的地。

10. 发明授权

US09117111B2 Pattern processing apparatus and method, and program 有权
标题翻译：图案处理装置及方法及程序
公开(公告)号：US09117111B2
公开(公告)日：2015-08-25
申请号：US12963568
申请日：2010-12-08
申请人： Katsuhiko Mori , Masami Kato , Yoshinori Ito , Takahisa Yamamoto
发明人： Katsuhiko Mori , Masami Kato , Yoshinori Ito , Takahisa Yamamoto
IPC分类号： G06K9/68 , G06K9/00
CPC分类号： G06K9/00281
摘要： Even when a local area is varied, degradation in recognition accuracy and detection accuracy is suppressed. To that end, a pattern processing apparatus includes a reference local area setting portion 1802 for setting a reference local area based on the detection result of a feature point by a face organ feature point detecting portion 101, a varied local area generating portion 1803 for generating a plurality of varied local area patterns by referring to an image area near the reference local area, a similarity calculating portion 106 for calculating similarities in the reference local areas and in the varied local area patterns between the input pattern and the registered pattern, a representative similarity calculating portion 107 for calculating representative similarity from among the similarities, and a classifying portion 109 for determining a class to which the input pattern belongs.
摘要翻译：即使局部区域变化，也能够抑制识别精度和检测精度的劣化。为此，图案处理装置包括：基准局部区域设定部1802，用于基于面部特征点检测部101的特征点的检测结果来设定基准局部区域;变化的局部区域生成部1803，通过参考参考局部区域附近的图像区域的多个变化的局部区域图案，计算参考局部区域和输入图案与登记图案之间的变化的局部区域图案中的相似度的相似度计算部分106，相似度计算部分107，用于从相似度中计算代表性相似度;以及分类部分109，用于确定输入模式所属的类别。

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