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。

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。

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。

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。

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。

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。

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。

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。

公开(公告)号：US08655057B2

公开(公告)日：2014-02-18

申请号：US12682028

申请日：2008-10-29

申请人： Masami Kato ,  Takahisa Yamamoto ,  Yoshinori Ito

发明人： Masami Kato ,  Takahisa Yamamoto ,  Yoshinori Ito

IPC分类号： G06K9/46 ,  G06K9/62 ,  G06E1/00

CPC分类号： G06K9/6257 ,  G06K9/00973

摘要： In an information processing apparatus that processes data using cascade-connected weak classifiers, processing specification information specifying the processing content of each of the weak classifiers is stored. The weak classifiers to be used in processing the data are selected from the weak classifiers by referring to a table in which is specified information for determining the weak classifiers to be used based on a condition for processing the data. The data is then processed by the selected weak classifiers based on the processing specification information that corresponds to those weak classifiers, and an object is extracted from the data using an obtained evaluation value. Through this, a combination of extraction process speed and extraction accuracy can be changed in a flexible manner when extracting a specific object from image data.

摘要翻译： 在使用级联连接的弱分类器处理数据的信息处理装置中，存储指定每个弱分类器的处理内容的处理规范信息。 用于处理数据的弱分类器通过参照其中指定的用于确定用于处理数据的条件的弱分类器的指定信息的表，从弱分类器中选择。 然后基于与这些弱分类器对应的处理规范信息，由所选择的弱分类器处理数据，并且使用获得的评估值从数据中提取对象。 通过这种方式，当从图像数据中提取特定对象时，提取处理速度和提取精度的组合可以灵活地改变。

公开(公告)号：US08515180B2

公开(公告)日：2013-08-20

申请号：US12974633

申请日：2010-12-21

申请人： Masami Kato ,  Yoshinori Ito ,  Takahisa Yamamoto

发明人： Masami Kato ,  Yoshinori Ito ,  Takahisa Yamamoto

IPC分类号： G06K9/46

CPC分类号： G06K9/00281 ,  G06K9/03 ,  G06T1/00

摘要： A data correction apparatus which corrects data associated with an image of an object projects vector data obtained by connecting data to be corrected to each other onto a subspace to generate a dimensionally reduced projection vector, and executes dimension restoration processing in which the dimensionality of the projection vector is restored to generate dimensionally restored vector data, thereby generating a plurality of dimensionally restored vector data for each type of fluctuation. The data correction apparatus determines the fluctuation of the object based on the projection vector, integrates the plurality of dimensionally restored vector data with each other based on the determination result, and outputs the integration result as corrected data.

摘要翻译： 一种数据校正装置，其校正与对象的图像相关联的数据，通过将要被校正的数据相互连接获得的向量数据投射到子空间上，以生成尺寸减小的投影向量，并执行尺寸恢复处理，其中投影的维度 向量被恢复以生成尺寸恢复的矢量数据，从而为每种类型的波动产生多个维度恢复的矢量数据。 数据校正装置基于投影向量来确定对象的波动，基于确定结果将多个尺寸恢复的矢量数据相互积分，并将积分结果作为校正数据输出。