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68 条记录 (耗时 0.046 秒)

    Image capturing apparatus and image capturing method
    31.
    发明授权
    Image capturing apparatus and image capturing method 有权
    图像捕获装置和图像捕获方法

    公开(公告)号：US08180106B2

    公开(公告)日：2012-05-15

    申请号：US12691072

    申请日：2010-01-21

    申请人： Masakazu Matsugu ,  Katsuhiko Mori ,  Yuji Kaneda ,  Tadashi Hayashi

    发明人： Masakazu Matsugu ,  Katsuhiko Mori ,  Yuji Kaneda ,  Tadashi Hayashi

    IPC分类号： G06K9/00

    CPC分类号： G06K9/00248 ,  G03B17/16 ,  G06K9/00315 ,  G06T7/97 ,  H04N5/232 ,  H04N5/23219 ,  H04N5/23222 ,  H04N5/772 ,  H04N2101/00

    摘要： In an image capturing apparatus, a video input unit (2) captures the image of an object and sequentially acquires image data associated with the image capturing, a model data memory (6) stores model data associated with the first feature quantity calculated from a feature point of the object in a model image, a principal object detection unit (3) calculates the second feature quantity from a feature point of the object in the acquired image data, a state change estimation unit (4) estimates, on the basis of the second feature quantity and the model data, the timing when the object satisfies a predetermined condition, and an image input processing control unit (7) stores the image data corresponding to the estimated timing in an image recording unit (5). This configuration makes the image capturing apparatus acquire an image in a more proper state without large-capacity memory.

    摘要翻译： 在图像捕获装置中，视频输入单元（2）捕获对象的图像并顺序获取与图像拍摄相关联的图像数据，模型数据存储器（6）存储与从特征计算出的第一特征量相关联的模型数据 主体对象检测单元（3）根据所获取的图像数据中的对象的特征点计算第二特征量，状态变化估计单元（4）基于所获取的图像数据 第二特征量和模型数据，对象满足预定条件的定时，图像输入处理控制单元（7）将与估计的定时对应的图像数据存储在图像记录单元（5）中。 该配置使得图像捕获装置在没有大容量存储器的情况下获得更适当状态的图像。

    Image processing apparatus, image processing method, and program
    32.
    发明授权
    Image processing apparatus, image processing method, and program 有权
    图像处理装置，图像处理方法和程序

    公开(公告)号：US08165399B2

    公开(公告)日：2012-04-24

    申请号：US12021659

    申请日：2008-01-29

    申请人： Yuji Kaneda ,  Masakazu Matsugu ,  Katsuhiko Mori

    发明人： Yuji Kaneda ,  Masakazu Matsugu ,  Katsuhiko Mori

    IPC分类号： G06K9/46

    CPC分类号： G06K9/00281 ,  G06K9/00248 ,  G06K9/00308

    摘要： A feature point detection unit (153) and feature amount extraction unit (154) extract a plurality of features of an object from input image data. When there are unextracted features of the plurality of features, a weight setting unit (155) sets weights for the extracted features. A facial expression determination unit (156) executes recognition processing of the object based on the features weighted by the weight setting unit (155).

    摘要翻译： 特征点检测单元（153）和特征量提取单元（154）从输入图像数据中提取对象的多个特征。 当存在多个特征的未提取的特征时，权重设置单元（155）设置所提取的特征的权重。 面部表情确定单元（156）基于由权重设定单元（155）加权的特征来执行对象的识别处理。

    Image capturing apparatus and image capturing method
    33.
    发明授权
    Image capturing apparatus and image capturing method 有权
    图像捕获装置和图像捕获方法

    公开(公告)号：US07889886B2

    公开(公告)日：2011-02-15

    申请号：US11459112

    申请日：2006-07-21

    申请人： Masakazu Matsugu ,  Katsuhiko Mori ,  Yuji Kaneda ,  Tadashi Hayashi

    发明人： Masakazu Matsugu ,  Katsuhiko Mori ,  Yuji Kaneda ,  Tadashi Hayashi

    IPC分类号： G06K9/00 ,  H04N7/18

    CPC分类号： G06K9/00248 ,  G03B17/16 ,  G06K9/00315 ,  G06T7/97 ,  H04N5/232 ,  H04N5/23219 ,  H04N5/23222 ,  H04N5/772 ,  H04N2101/00

    摘要： In an image capturing apparatus, a video input unit (2) captures the image of an object and sequentially acquires image data associated with the image capturing, a model data memory (6) stores model data associated with the first feature quantity calculated from a feature point of the object in a model image, a principal object detection unit (3) calculates the second feature quantity from a feature point of the object in the acquired image data, a state change estimation unit (4) estimates, on the basis of the second feature quantity and the model data, the timing when the object satisfies a predetermined condition, and an image input processing control unit (7) stores the image data corresponding to the estimated timing in an image recording unit (5). This configuration makes the image capturing apparatus acquire an image in a more proper state without large-capacity memory.

    摘要翻译： 在图像捕获装置中，视频输入单元（2）捕获对象的图像并顺序获取与图像拍摄相关联的图像数据，模型数据存储器（6）存储与从特征计算出的第一特征量相关联的模型数据 主体对象检测单元（3）根据所获取的图像数据中的对象的特征点计算第二特征量，状态变化估计单元（4）基于所获取的图像数据 第二特征量和模型数据，对象满足预定条件的定时，图像输入处理控制单元（7）将与估计的定时对应的图像数据存储在图像记录单元（5）中。 该配置使得图像捕获装置在没有大容量存储器的情况下获得更适当状态的图像。

    Movement evaluation apparatus and method
    37.
    发明申请
    Movement evaluation apparatus and method 审中-公开
    运动评估装置及方法

    公开(公告)号：US20050201594A1

    公开(公告)日：2005-09-15

    申请号：US11065574

    申请日：2005-02-24

    申请人： Katsuhiko Mori ,  Masakazu Matsugu ,  Yuji Kaneda

    发明人： Katsuhiko Mori ,  Masakazu Matsugu ,  Yuji Kaneda

    IPC分类号： G09B5/02 ,  G06K9/00 ,  G06T1/00 ,  G06T7/20 ,  G09B19/00 ,  H04N5/225

    CPC分类号： G06K9/00315 ,  A61B5/0077 ,  A61B5/1128 ,  A61B5/165 ,  A61B2576/02 ,  G09B19/00 ,  H04N5/23219 ,  H04N5/23222

    摘要： A movement evaluation apparatus extracts feature points from a first reference object image and an ideal object image which are obtained by sensing an image including an object by an image sensing unit, and generates ideal action data on the basis of change amounts of the feature points between the first reference object image and the ideal object image. The apparatus extracts feature points from a second reference object image and an evaluation object image sensed by the image sensing unit, and generates measurement action data on the basis of change amounts of the feature points between the second reference object image and the evaluation object image. The movement evaluation apparatus evaluates the movement of the object in the evaluation object image on the basis of the ideal action data and the measurement action data.

    摘要翻译： 运动评价装置从通过感光单元检测包括对象的图像而获得的第一参考对象图像和理想对象图像中提取特征点，并基于图像检测单元的特征点的变化量生成理想动作数据， 第一参考对象图像和理想对象图像。 该设备从第二参考对象图像和由图像感测单元检测到的评估对象图像中提取特征点，并且基于第二参考对象图像与评估对象图像之间的特征点的变化量来生成测量动作数据。 移动评价装置基于理想动作数据和测量动作数据，对评价对象图像中的对象的移动进行评价。

    PATTERN IDENTIFICATION METHOD, PARAMETER LEARNING METHOD AND APPARATUS
    38.
    发明申请
    PATTERN IDENTIFICATION METHOD, PARAMETER LEARNING METHOD AND APPARATUS 有权
    模式识别方法，参数学习方法和装置

    公开(公告)号：US20090089235A1

    公开(公告)日：2009-04-02

    申请号：US12205174

    申请日：2008-09-05

    申请人： Kan Torii ,  Katsuhiko Mori ,  Yusuke Mitarai ,  Hiroshi Sato ,  Yuji Kaneda ,  Takashi Suzuki

    发明人： Kan Torii ,  Katsuhiko Mori ,  Yusuke Mitarai ,  Hiroshi Sato ,  Yuji Kaneda ,  Takashi Suzuki

    IPC分类号： G06N5/02

    CPC分类号： G06K9/6282 ,  G06K9/68

    摘要： In a pattern identification method in which input data is classified into predetermined classes by sequentially executing a combination of a plurality of classification processes, at least one of the classification processes includes a mapping step of mapping the input data in an N (N≧2) dimensional feature space as corresponding points, a determination step of determining whether or not to execute the next classification process based on the corresponding points, and selecting step of selecting a classification process to be executed next based on the corresponding points when it is determined in the determination step that the next classification process should be executed.

    摘要翻译： 在通过顺序地执行多个分类处理的组合将输入数据分类为预定类别的模式识别方法中，至少一个分类处理包括映射步骤，其将输入数据映射到N（N> = 2 ）维特征空间作为对应点，确定步骤，基于对应点确定是否执行下一个分类处理;以及选择步骤，基于对应点选择下一个执行的分类处理 下一个分类过程应该执行的确定步骤。

    Image processing apparatus and method, and storage medium
    39.
    发明授权
    Image processing apparatus and method, and storage medium 有权
    图像处理装置和方法以及存储介质

    公开(公告)号：US08538091B2

    公开(公告)日：2013-09-17

    申请号：US12147123

    申请日：2008-06-26

    申请人： Yuji Kaneda ,  Katsuhiko Mori ,  Hiroshi Sato

    发明人： Yuji Kaneda ,  Katsuhiko Mori ,  Hiroshi Sato

    IPC分类号： G06K9/00

    CPC分类号： G06K9/00845 ,  G06K9/00315 ,  G06K9/0061 ,  G06K9/4628

    摘要： An image-processing apparatus for executing accurate facial expression recognition even for a subject hard to recognize a facial expression is provided. A person's face region is extracted from an image input from an image input unit. A predetermined partial region that changes between when the facial expression is in the first and second states is extracted from the extracted face region. A facial expression evaluation value is calculated using an evaluation value calculation formula. When the calculated facial expression evaluation value exceeds a threshold value, it is determined that the facial expression is in the second state. If the difference between the maximum value and the minimum value of the calculated facial expression evaluation value within a predetermined time is smaller than a predetermined value, the evaluation value calculation formula or its parameter is changed to increase the difference.

    摘要翻译： 提供了即使对于难以识别面部表情的对象也执行准确的面部表情识别的图像处理装置。 从图像输入单元输入的图像中提取人脸区域。 从所提取的面部区域中提取在面部表情处于第一状态和第二状态之间时的变化的预定部分区域。 使用评价值计算公式计算面部表情评价值。 当所计算的面部表情评估值超过阈值时，确定面部表情处于第二状态。 如果计算出的面部表情评估值的最大值与最小值之间的差在预定时间内小于预定值，则改变评估值计算公式或其参数以增加差异。

    Pattern identification method, parameter learning method and apparatus
    40.
    发明授权
    Pattern identification method, parameter learning method and apparatus 有权
    模式识别方法，参数学习方法和装置

    公开(公告)号：US08527439B2

    公开(公告)日：2013-09-03

    申请号：US12205174

    申请日：2008-09-05

    申请人： Kan Torii ,  Katsuhiko Mori ,  Yusuke Mitarai ,  Hiroshi Sato ,  Yuji Kaneda ,  Takashi Suzuki

    发明人： Kan Torii ,  Katsuhiko Mori ,  Yusuke Mitarai ,  Hiroshi Sato ,  Yuji Kaneda ,  Takashi Suzuki

    IPC分类号： G06F17/00

    CPC分类号： G06K9/6282 ,  G06K9/68

    摘要： In a pattern identification method in which input data is classified into predetermined classes by sequentially executing a combination of a plurality of classification processes, at least one of the classification processes includes a mapping step of mapping the input data in an N (N≧2) dimensional feature space as corresponding points, a determination step of determining whether or not to execute the next classification process based on the corresponding points, and selecting step of selecting a classification process to be executed next based on the corresponding points when it is determined in the determination step that the next classification process should be executed.

    摘要翻译： 在通过顺序地执行多个分类处理的组合将输入数据分类为预定类别的模式识别方法中，至少一个分类处理包括映射步骤，其将输入数据映射到N（N> = 2 ）维特征空间作为对应点，确定步骤，基于对应点确定是否执行下一个分类处理;以及选择步骤，基于对应点选择下一个执行的分类处理 下一个分类过程应该执行的确定步骤。